Neural network applications in business: A review and analysis of the literature (1988-1995)

Abstract A survey of journal articles on neural network business applications published between 1988 and 1995 indicates that an increasing amount of neural network research is being conducted for a diverse range of business activities. The classification of literature by (1) year of publication, (2) application area, (3) problem domain, (4) decision process phase, (5) level of management, (6) level of task interdependence, (7) means of development, (8) corporate/academic interaction in development, (9) technology integration, (10) comparative study, (11) major contribution, and (12) journal provides some insights into the trends in neural networks research. The implications for neural networks developers/researchers and suggestions on future research areas are discussed.

[1]  Chao-Ton Su,et al.  Neural networks for precise measurement in computer vision systems , 1995 .

[2]  Peihua Gu,et al.  A multi-constraint neural network for the pragmatic design of cellular manufacturing systems , 1995 .

[3]  Shaw K. Chen,et al.  The comparative ability of self-organizing neural networks to define cluster structure , 1995 .

[4]  Efraim Turban,et al.  Decision Support and Expert Systems: Management Support Systems , 1990 .

[5]  T. Warren Liao,et al.  Integration of a feature-based CAD system and an ART1 neural model for GT coding and part family forming , 1994 .

[6]  B. J. Griffiths,et al.  A low-cost vision system combining conventional and artificial intelligence techniques for complex image inspection and verification , 1995 .

[7]  Mohammad S. Obaidat,et al.  A Multilayer Neural Network System for Computer Access Security , 1994, IEEE Trans. Syst. Man Cybern. Syst..

[8]  Jacob M.J. Murre,et al.  Learning and Categorization in Modular Neural Networks , 1992 .

[9]  Jiann-Liang Chen,et al.  A neural-net approach to economic power dispatch , 1993 .

[10]  Suraj M. Alexander,et al.  The investigation of new approaches to business data analysis , 1993 .

[11]  Mark S. Redfern,et al.  A predictive model for slip resistance using artificial neural networks , 1995 .

[12]  L. Burke A neural design for solution of the maximal independent set problem , 1992 .

[13]  G. Allen Pugh A COMPARISON OF NEURAL NETWORKS TO SPC CHARTS , 1991 .

[14]  Erol Gelenbe,et al.  Neural Networks: Advances and Applications II , 1991 .

[15]  C. A. Vassiliadis,et al.  Parallel implementation of the fuzzy ARTMAP neural network paradigm on a hypercube , 1995 .

[16]  Laura Burke,et al.  Using ontogenic classification networks in a smart structures application , 1995, Comput. Oper. Res..

[17]  Chew Lim Tan,et al.  A shell environment for developing connectionist decision support systems , 1994 .

[18]  Marino Widmer,et al.  FUN: A dynamic method for scheduling problems , 1995 .

[19]  Yasuo Morooka,et al.  Fuzzy and Neural Hybrid Expert Systems: Synergetic AI , 1995, IEEE Expert.

[20]  Sanjoy Ghose,et al.  Comparing the predictive performance of a neural network model with some traditional market response models , 1994 .

[21]  F. S. Wong,et al.  Fuzzy Neural Systems for Stock Selection , 1992 .

[22]  Hidetomo Ichihashi,et al.  Neuro-Fuzzy GMDH and Its Application to Modelling Grinding Characteristics , 1995 .

[23]  S. Chi,et al.  Generalized part family formation using neural network techniques , 1992 .

[24]  A. Pascu Operational research '81: J.P. Brans (Ed.) Proceedings of the Ninth IFORS International Conference on Operational Research, Hamburg, Germany, July 20–24, 1981, North-Holland, Amsterdam, 1981, xx + 984 pages, Dfl.250.000 , 1982 .

[25]  Ramesh Sharda,et al.  Bankruptcy prediction using neural networks , 1994, Decis. Support Syst..

[26]  George Chryssolouris,et al.  The use of neural networks in determining operational policies for manufacturing systems , 1991 .

[27]  G. Grudnitski,et al.  Forecasting S&P and gold futures prices: An application of neural networks , 1993 .

[28]  James P. Ignizio,et al.  A stochastic neural network for resource constrained scheduling , 1992, Comput. Oper. Res..

[29]  A. R. Venkatachalam,et al.  A neural network approach to forecasting model selection , 1995, Inf. Manag..

[30]  Melody Y. Kiang,et al.  Managerial Applications of Neural Networks: The Case of Bank Failure Predictions , 1992 .

[31]  Yoshiyasu Takefuji,et al.  Neural networks in design and manufacturing , 1993 .

[32]  Nallan C. Suresh,et al.  A neural network system for shape-based classification and coding of rotational parts , 1991 .

[33]  Xuening Chu,et al.  Product manufacturability control for concurrent engineering , 1994 .

[34]  Adedeji Badiru,et al.  An artificial neural network case study: prediction versus classification in a manufacturing application , 1993 .

[35]  Junsei Tsukuda,et al.  Predicting Japanese corporate bankruptcy in terms of financial data using neural network , 1994 .

[36]  N F Hubele,et al.  X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING , 1993 .

[37]  R. Proctor An Expert System to Aid in Staff Selection: A Neural Network Approach , 1991 .

[38]  Herbert Moskowitz,et al.  Integrating Neural Networks and Semi‐Markov Processes for Automated Knowledge Acquisition: An Application to Real‐time Scheduling* , 1992 .

[39]  Alice E. Smith,et al.  X-bar and R control chart interpretation using neural computing , 1994 .

[40]  Kyungdoo “Ted” Nam,et al.  FORECASTING INTERNATIONAL AIRLINE PASSENGER TRAFFIC USING NEURAL NETWORKS , 1995 .

[41]  Y. Moon,et al.  An unified group technology implementation using the backpropagation learning rule of neural networks , 1991 .

[42]  Nallan C. Suresh,et al.  Performance of Selected Part‐Machine Grouping Techniques for Data Sets of Wide Ranging Sizes and Imperfection , 1994 .

[43]  Jean-Yves Potvin,et al.  Neural networks for automated vehicle dispatching , 1992, Comput. Oper. Res..

[44]  Chien-Nan Huang,et al.  Comparison of image processing algorithms and neural networks in machine vision inspection , 1992 .

[45]  Douglas Fisher,et al.  Machine Learning Approaches to Estimating Software Development Effort , 1995, IEEE Trans. Software Eng..

[46]  Hiromitsu Kumamoto,et al.  Failure diagnosis of a servovalve by neural networks with new learning algorithm and structure analysis , 1990 .

[47]  Norma Faris Hubele,et al.  Back-propagation pattern recognizers for X¯ control charts: methodology and performance , 1993 .

[48]  Fatemeh Zahedi Intelligent Systems for Business: Expert Systems with Neural Networks , 1993 .

[49]  Dimitris Gritzalis,et al.  Design of a neural network for recognition and classification of computer viruses , 1995, Comput. Secur..

[50]  Sang C. Park,et al.  The Hybrid Application of an Inductive Learning Method and a Neural Network for Intelligent Information Retrieval , 1995, Inf. Process. Manag..

[51]  E. Mine Cinar,et al.  Neural Networks: A New Tool for Predicting Thrift Failures , 1992 .

[52]  Stavros A. Zenios,et al.  Predicting Prepayment Rates for Mortgages Using the Cascade-Correlation Learning Algorithm , 1993 .

[53]  Nallan C. Suresh,et al.  Performance of Fuzzy ART neural network for group technology cell formation , 1994 .

[54]  Pamela K. Coats,et al.  Recognizing Financial Distress Patterns Using a Neural Network Tool , 1993 .

[55]  Norman R. Swanson,et al.  A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks , 1995 .

[56]  Pi-Sheng Deng,et al.  Automating Knowledge Acquisition and Refinement for Decision Support: A Connectionist Inductive Inference Model* , 1993 .

[57]  Mauridhi Hery Purnomo,et al.  Beam landing adjustment for color purity of integrated tube component using artificial neural network , 1995 .

[58]  Chuen-Sheng Cheng A multi-layer neural network model for detecting changes in the process mean , 1995 .

[59]  Scott Hamilton,et al.  The journal communication system for MIS research , 1982, DATB.

[60]  Andreas Stafylopatis,et al.  Pictorial Information Retrieval Using the Random Neural Network , 1992, IEEE Trans. Software Eng..

[61]  Stephen I. Gallant,et al.  Neural network learning and expert systems , 1993 .

[62]  Duane DeSieno,et al.  Trading Equity Index Futures With a Neural Network , 1992 .

[63]  Laura I. Burke,et al.  An unsupervised neural network approach to tool wear identification , 1993 .

[64]  P. Gu,et al.  Expert self-organizing neural network for the design of cellular manufacturing systems , 1994 .

[65]  William Remus,et al.  Neural network models for intelligent support of managerial decision making , 1994, Decis. Support Syst..

[66]  Paul J. Werbos,et al.  Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods , 1989, IEEE Trans. Syst. Man Cybern..

[67]  James V. Hansen,et al.  Artificial Intelligence and Generalized Qualitative‐Response Models: An Empirical Test on Two Audit Decision‐Making Domains , 1992 .

[68]  Jannes Slomp,et al.  The capacitated cell formation problem : a new hierarchical methodology , 1995 .

[69]  Herbert L. Jensen,et al.  Using Neural Networks for Credit Scoring , 1992 .

[70]  Se-Young Oh,et al.  A neural network-based real-time robot tracking controller using position sensitive detectors , 1995 .

[71]  Mark L. Gillenson,et al.  Academic Issues in MIS: Journals and Books , 1991, MIS Q..

[72]  Dan Yang,et al.  Case-based decision support system with artificial neural network , 1994 .

[73]  Michael W. Kattan,et al.  A Comparison of Machine Learning with Human Judgment , 1993, J. Manag. Inf. Syst..

[74]  Marcus Brown,et al.  User Identification via Keystroke Characteristics of Typed Names using Neural Networks , 1993, Int. J. Man Mach. Stud..

[75]  Melody Y. Kiang,et al.  Predicting Bank Failures: A neural network approach , 1990, Appl. Artif. Intell..

[76]  T. T. Narendran,et al.  Machine-cell formation through neural network models , 1994 .

[77]  Akio Yamamoto,et al.  Scheduling for minimizing total actual flow time by neural networks , 1992 .

[78]  Utpal Roy,et al.  Connectionist models for part-family classifications , 1993 .

[79]  Tomas Velasco,et al.  Back propagation artificial neural networks for the analysis of quality control charts , 1993 .

[80]  Frank L. Lewis,et al.  Neural net robot controller with guaranteed tracking performance , 1995, IEEE Trans. Neural Networks.

[81]  T. J. Ko,et al.  On-line monitoring of tool breakage in face milling using a self-organized neural network , 1995 .

[82]  David W. Wright,et al.  Using Artificial Neural Networks to Pick Stocks , 1993 .

[83]  Robert J. Kauffman,et al.  Comparing the Modeling Performance of Regression and Neural Networks as Data Quality Varies: A Business Value Approach , 1993, J. Manag. Inf. Syst..

[84]  Cihan H. Dagli Artificial Neural Networks for Intelligent Manufacturing , 1994 .

[85]  Milton S. Boyd,et al.  Forecasting futures trading volume using neural networks , 1995 .

[86]  Michael Galler,et al.  Analysis of Small-Business Financial Statements Using Neural Nets , 1995 .

[87]  Rick L. Wilson,et al.  A neural network approach to decision alternative prioritization , 1994, Decis. Support Syst..

[88]  Taghi M. Khoshgoftaar,et al.  A neural network approach for early detection of program modules having high risk in the maintenance phase , 1995, J. Syst. Softw..

[89]  Timo Sorsa,et al.  Neural networks in process fault diagnosis , 1991, IEEE Trans. Syst. Man Cybern..

[90]  Godwin J. Udo,et al.  Neural network performance on the bankruptcy classification problem , 1993 .

[91]  Luis Rabelo,et al.  Learning from examples: a review of machine learning, neural networks and fuzzy logic paradigms , 1995 .

[92]  Edward I. Altman,et al.  Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) , 1994 .

[93]  Cihan H. Dagli,et al.  Genetic neuro-scheduler for job shop scheduling , 1993 .

[94]  Chuen-Sheng Cheng,et al.  A neural network-based cell formation algorithm in cellular manufacturing , 1995 .

[95]  Qiwen Wang,et al.  A neural network model for the wire bonding process , 1993, Comput. Oper. Res..

[96]  R. Huggahalli,et al.  Machine-part family formation with the adaptive resonance theory paradigm , 1995 .

[97]  Luis Rabelo,et al.  Artificial neural networks for flexible manufacturing systems scheduling , 1993 .

[98]  Branko Soucek Neural and intelligent systems integration - fifth and sixth generation integrated reasoning information systems , 1991, Sixth-generation computer technology series.

[99]  Harald Hruschka,et al.  Determining market response functions by neural network modeling: A comparison to econometric techniques , 1993 .

[100]  Michael J. Shaw,et al.  A classification approach using multi-layered neural networks , 1994, Decis. Support Syst..

[101]  Susan I. Hruska,et al.  Hybrid systems: the equivalence of rule-based expert system and artificial neural network inference , 1991 .

[102]  Michiel C. van Wezel,et al.  Predicting market responses with a neural network , 1995 .

[103]  Deborah F. Cook,et al.  A predictive neural network modelling system for manufacturing process parameters , 1992 .

[104]  T. Warren Liao,et al.  An evaluation of ART1 neural models for GT part family and machine cell forming , 1993 .

[105]  C. L. Philip Chen,et al.  An integration of neural network and rule-based systems for design and planning of mechanical assemblies , 1993, IEEE Trans. Syst. Man Cybern..

[106]  J. M. Garza,et al.  Neural networks versus parameter-based applications in cost estimating , 1995 .

[107]  Richard T. Redmond,et al.  Expert systems for bond rating: a comparative analysis of statistical, rule‐based and neural network systems , 1993 .

[108]  Bharat A. Jain,et al.  Artificial Neural Network Models for Pricing Initial Public Offerings , 1995 .

[109]  Amit Kumar Ray,et al.  Equipment fault diagnosis—A neural network approach , 1991 .

[110]  Kar Yan Tam,et al.  Neural network models and the prediction of bank bankruptcy , 1991 .

[111]  T. T. Narendran,et al.  Neural network model for design retrieval in manufacturing systems , 1992 .

[112]  L. T. Fan,et al.  Artificial intelligence for waste minimization in the process industry , 1993 .

[113]  Yuehwern Yih,et al.  ROBOT SCHEDULING IN A CIRCUIT BOARD PRODUCTION LINE:A HYBRID OR/ANN APPROACH , 1993 .

[114]  Kelly E. Fish,et al.  Artificial neural networks: A new methodology for industrial market segmentation , 1995 .

[115]  Laura I. Burke,et al.  Neural networks and the part family/ machine group formation problem in cellular manufacturing: A framework using fuzzy ART , 1995 .

[116]  S.S. Rangwala,et al.  Learning and optimization of machining operations using computing abilities of neural networks , 1989, IEEE Trans. Syst. Man Cybern..

[117]  W. T. Illingworth,et al.  Practical guide to neural nets , 1991 .

[118]  Farshad Fotouhi,et al.  Adaptive Indexing in Very Large Databases , 1995 .

[119]  Bart Kosko,et al.  Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[120]  Katsumi Morikawa,et al.  Neural network approach for minimizing the makespan of the general job-shop , 1994 .

[121]  Otto H. MacLin,et al.  HAVE PRESIDENTS INFLUENCED MONETARY POLICY: NEW EVIDENCE FROM AN ARTIFICIAL NEUTRAL NETWORK , 1995 .

[122]  Tor Guimaraes,et al.  Integrating artificial neural networks with rule-based expert systems , 1994, Decis. Support Syst..

[123]  Margarita M. Lenk,et al.  An Exploration of Neural Networks and Its Application to Real Estate Valuation , 1995 .

[124]  G. A. Pugh Synthetic neural networks for process control , 1989 .

[125]  Pamela K. Coats,et al.  A neural network for classifying the financial health of a firm , 1995 .

[126]  Tarun Khanna,et al.  Foundations of neural networks , 1990 .

[127]  Andrew Kusiak,et al.  Grouping parts with a neural network , 1994 .

[128]  Gerald M. Knapp,et al.  Machine fault classification: a neural network approach , 1992 .

[129]  J. David Fuller,et al.  Back propagation in time‐series forecasting , 1995 .

[130]  Jae Kyu Lee,et al.  A two-stage neural network approach for ARMA model identification with ESACF , 1994, Decis. Support Syst..

[131]  Chao-Hsien Chu,et al.  Neural network system for forecasting method selection , 1994, Decis. Support Syst..

[132]  Cliff T. Ragsdale,et al.  Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis , 1995 .

[133]  Alain Lelu,et al.  From data analysis to neural networks: new prospects for efficient browsing through databases , 1991, J. Inf. Sci..

[134]  Robert A. Marose A financial neural-network application , 1990 .

[135]  N. Suresh,et al.  Machine-component cell formation in group technology : a neural network approach , 1992 .

[136]  John D. Johnson,et al.  A decision support system for in-sample simultaneous equation systems forecasting using artificial neural systems , 1994, Decis. Support Syst..

[137]  I. D'Antone A parallel neural network implementation in a distributed fault diagnosis system , 1994, Microprocess. Microprogramming.

[138]  K. T. Yeo,et al.  An expert neural network system for dynamic job shop scheduling , 1994 .

[139]  Akio Yamamoto,et al.  A new stochastic neural network model and its application to grouping parts and tools in flexible manufacturing systems , 1995 .

[140]  Colin O. Benjamin,et al.  Comparing BP and ART II neural network classifiers for facility location , 1995 .

[141]  C. Lee,et al.  An attribute design method: a new approach to flexible welding machine design , 1994 .

[142]  Jay Lee,et al.  Analysis of machine degradation using a neural network based pattern discrimination model , 1993 .

[143]  R. C. Creese,et al.  Cost estimation of timber bridges using neural networks , 1995 .

[144]  P. G. J. Lisboa Neural Networks: Current Applications , 1992 .

[145]  Albert Jones,et al.  Integration of neural networks and genetic algorithms for an intelligent manufacturing controller , 1995 .

[146]  Youngohc Yoon,et al.  A Comparison of Discriminant Analysis versus Artificial Neural Networks , 1993 .

[147]  Deborah F. Cook,et al.  Counterpropagation neural network for modelling a continuous correlated process , 1995 .

[148]  Thomas Jackson,et al.  Neural Computing - An Introduction , 1990 .

[149]  Alec Evans,et al.  AIRCRAFT NOISE AND RESIDENTIAL PROPERTY VALUES: AN ARTIFICIAL NEURAL NETWORK APPROACH. , 1994 .

[150]  Youngohc Yoon,et al.  Applying Artificial Neural Networks to Investment Analysis , 1992 .

[151]  Ray Eberts,et al.  Neural network-based agents for integrating information for production systems , 1995 .

[152]  William J. B. Oldham,et al.  A neural network approach for datum selection in computer-aided process planning , 1995 .

[153]  W. Robertson,et al.  A neural algorithm for document clustering , 1991, Inf. Process. Manag..

[154]  James William Hall,et al.  Emulating human process control functions with neural networks , 1992 .

[155]  Patrick Canarelli,et al.  Analysing the past and managing the future using neural networks , 1995 .

[156]  Nallan C. Suresh,et al.  An improved neural network leader algorithm for part-machine grouping in group technology , 1993 .

[157]  Chao-Ton Su,et al.  A comparison of statistical regression and neural network methods in modeling measurement errors for computer vision inspection systems , 1995 .

[158]  Desmond Fletcher,et al.  Forecasting with neural networks: An application using bankruptcy data , 1993, Inf. Manag..

[159]  Hsinchun Chen,et al.  An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): symbolic branch-and-bound search vs. connectionist Hopfield net activation , 1995 .

[160]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1994 .

[161]  Sang C. Park,et al.  Knowledge-based DSS for construction contractor prescreening , 1995 .

[162]  K. F. Reinschmidt Neural networks; Next step for simulation and control , 1991 .

[163]  Soumitra Dutta,et al.  Decision support in non-conservative domains: Generalization with neural networks , 1992, Decis. Support Syst..

[164]  Y. Hung,et al.  Use of artificial neural networks , 1995 .

[165]  Cihan H. Dagli,et al.  Intelligent design retrieval and packaging system : application of neural networks in design and manufacturing , 1995 .

[166]  Jörgen Modin,et al.  KBS-CLASS: a neural network tool for automatic content recognition of building texts , 1995 .

[167]  Magne Jørgensen,et al.  Experience With the Accuracy of Software Maintenance Task Effort Prediction Models , 1995, IEEE Trans. Software Eng..

[168]  Shimon Schocken,et al.  Neural Networks for Decision Support: Problems and Opportunities , 1991, Decis. Support Syst..

[169]  Judith M. Collins,et al.  AN APPLICATION OF THE THEORY OF NEURAL COMPUTATION TO THE PREDICTION OF WORKPLACE BEHAVIOR: AN ILLUSTRATION AND ASSESSMENT OF NETWORK ANALYSIS , 1993 .

[170]  Gregory R. Madey,et al.  The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision* , 1995 .

[171]  Ingoo Han,et al.  An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks* , 1992 .

[172]  Uday R. Kulkarni,et al.  Self-organizing map network as an interactive clustering tool - An application to group technology , 1995, Decis. Support Syst..

[173]  Young B. Moon,et al.  A neural network approach for smoothing and categorizing noisy data , 1995 .

[174]  Gary W. Fischer,et al.  A neural algorithm for finding the shortest flow path for an automated guided vehicle system , 1995 .

[175]  Gavriel Salvendy,et al.  Neural-network based fault diagnosis of hydraulic forging presses in China , 1995 .

[176]  H. B. Hwarng,et al.  Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer , 1995 .

[177]  Kang G. Shin,et al.  Intelligent Coordination of Multiple Systems with Neural Networks , 1991, 1991 American Control Conference.

[178]  Paulo J. G. Lisboa,et al.  Techniques and applications of neural networks , 1993, Ellis Horwood workshop series.

[179]  David E. Culler,et al.  A neural network-based methodology for machining knowledge acquisition , 1995 .

[180]  Jun Wang,et al.  A neural network approach to multiple-objective cutting parameter optimization based on fuzzy preference information , 1993 .

[181]  Nissan Levin,et al.  Issues and problems in applying neural computing to target marketing , 1997 .

[182]  Patrick K. Simpson,et al.  Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations , 1990 .

[183]  Sooyoung Kim,et al.  Neural network applications for scheduling jobs on parallel machines , 1993 .

[184]  Young B. Moon,et al.  Establishment of a neurocomputing model for part family/machine group identification , 1992, J. Intell. Manuf..

[185]  George Chryssolouris,et al.  Sensor Synthesis for Control of Manufacturing Processes , 1992 .

[186]  Pi-Sheng Deng,et al.  Experimentation with a back-propagation neural network: An application to planning end user system development , 1993, Inf. Manag..

[187]  H. Brian Hwarng Proper and effective training of a pattern recognizer for cyclic data , 1995 .

[188]  Hsu-Pin Ben Wang,et al.  Classification of autoregressive spectral estimated signal patterns using an adaptive resonance theory neural network , 1993 .

[189]  Gregory R. Madey,et al.  Integration of neurocomputing and system simulation for modeling continuous improvement systems in manufacturing , 1992, J. Intell. Manuf..

[190]  John Kean Neural nets and stocks: training a predictive system , 1993 .

[191]  Alice E. Smith,et al.  Controlling industrial processes through supervised, feedforward neural networks , 1991 .

[192]  W. Cooper,et al.  You have printed the following article : A Neural Network Method for Obtaining an Early Warning of Insurer Insolvency , 2007 .

[193]  Sema E. Alptekin,et al.  Artificial neural networks for robotics coordinate transformation , 1992 .

[194]  Kenneth R. Currie An intelligent grouping algorithm for cellular manufacturing , 1992 .

[195]  Susan A. Sherer,et al.  Software fault prediction , 1995, J. Syst. Softw..

[196]  James R. Burns,et al.  Connectionist approaches to inexact reasoning and learning systems for executive and decision support : Conceptual design , 1993, Decis. Support Syst..

[197]  Loren Paul Rees,et al.  Using Neural Networks to Determine Internally-Set Due-Date Assignments for Shop Scheduling* , 1994 .

[198]  Colin O. Benjamin,et al.  Classifying U.S. manufacturing plant locations using an artificial neural network , 1992 .

[199]  Leticia Villegas,et al.  A neural network tool for identifying text-editing goals , 1994, Int. J. Hum. Comput. Stud..

[200]  Uday R. Kulkarni,et al.  Dynamic grouping of parts in flexible manufacturing systems : a self-organizing neural networks approach , 1995 .

[201]  Philip D. Wasserman,et al.  Neuralsource: The Bibliographic Guide to Artificial Neural Networks , 1990 .

[202]  Hylton Boothroyd Operational Research '90 , 1992 .

[203]  Chris Nikolopoulos,et al.  A hybrid expert system for investment advising , 1994 .