Neural Networks for the MS/OR Analyst: An Application Bibliography

From a management scientist's perspective, the neural networks offer three opportunities: statistical methods, optimization methods, and a problem domain in which to apply OR algorithms. This annotated bibliography of application literature should offer a nontechnical fast track to someone getting started in this exciting area. The research published thus far on the applications of neural networks for statistical and optimization problems shows promise for the interface of neural networks and management science.

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[2]  L. DeSilets,et al.  A neural network model for cell suppression of tabular data , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

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[4]  Laura I. Burke,et al.  The guilty net for the traveling salesman problem , 1992, Comput. Oper. Res..

[5]  S.C.A. Thomopoulos,et al.  Neural network implementation of the shortest path algorithm for traffic routing in communication networks , 1989, International 1989 Joint Conference on Neural Networks.

[6]  PAUL J. WERBOS,et al.  Generalization of backpropagation with application to a recurrent gas market model , 1988, Neural Networks.

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

[9]  J. C. Cosset,et al.  Forecasting country risk ratings using a neural network , 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

[10]  Ming S. Hung,et al.  A neural network approach to the classification problem , 1990 .

[11]  J. E. Collard.  Commodity trading with a two year old , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[12]  Alvin J. Surkan,et al.  Neural networks for bond rating improved by multiple hidden layers , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[13]  Leorey Marquez,et al.  Neural network models as an alternative to regression , 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

[14]  P. Sadayappan,et al.  Optimization by neural networks , 1988, IEEE 1988 International Conference on Neural Networks.

[15]  C. H. Dagli,et al.  Possible applications of neural networks in manufacturing , 1989, International 1989 Joint Conference on Neural Networks.

[16]  Leon O. Chua,et al.  Neural networks for nonlinear programming , 1988 .

[17]  Thomas Kolarik,et al.  Time series forecasting using neural networks , 1994, APL '94.

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[19]  Halbert White,et al.  Learning in Artificial Neural Networks: A Statistical Perspective , 1989, Neural Computation.

[20]  T. L. Yu.  Time-table scheduling using neural network algorithms , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

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[22]  Jadranka Skorin-Kapov,et al.  A connectionist approach to the quadratic assignment problem , 1992, Comput. Oper. Res..

[23]  K. A. Duliba,et al.  Contrasting neural nets with regression in predicting performance in the transportation industry , 1990, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

[24]  Soundar R. T. Kumara,et al.  Function-to-structure transformation in conceptual design: An associative memory-based paradigm , 1991, J. Intell. Manuf..

[25]  S. Haykin,et al.  A neural network nonlinear predictor , 1989, International 1989 Joint Conference on Neural Networks.

[26]  J. J. Hopfield,et al.  “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.

[27]  Wullianallur Raghupathi,et al.  A neural network application for bankruptcy prediction , 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

[28]  Vladimir Cherkassky,et al.  Scaling neural network for job-shop scheduling , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[29]  William Remus,et al.  Neural network models of managerial judgment , 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

[30]  Suh Young Kang,et al.  An investigation of the use of feedforward neural networks for forecasting , 1992 .

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[32]  Ramesh Sharda,et al.  A neural network model for bankruptcy prediction , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[33]  O. Mangasarian,et al.  Robust linear programming discrimination of two linearly inseparable sets , 1992 .

[34]  Somnath Mukhopadhyay,et al.  Pattern Classification Using Linear Programming , 1991, INFORMS J. Comput..

[35]  Paul Juell,et al.  Neural Networks for Selective Vehicle Routing Heuristics , 1990, INFORMS J. Comput..

[36]  John J. Hopfield,et al.  Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .

[37]  Eitan Wacholder,et al.  A Neural Network-Based Optimization Algorithm for the Static Weapon-Target Assignment Problem , 1989, INFORMS J. Comput..

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

[39]  Laura I. Burke,et al.  Tool condition monitoring in metal cutting: A neural network approach , 1991, J. Intell. Manuf..

[40]  Qiwen Wang,et al.  Predicting salinity in the chesapeake bay using backpropagation , 1992, Comput. Oper. Res..

[41]  Sweet.  Determination of parameters in a Hopfield/Tank computational network , 1988 .

[42]  P. S. Lewis,et al.  Function approximation and time series prediction with neural networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[43]  Marcus O'Connor,et al.  Artificial neural network models for forecasting and decision making , 1994 .

[44]  Kurt Hornik,et al.  Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.

[45]  Bernard Angéniol,et al.  Self-organizing feature maps and the travelling salesman problem , 1988, Neural Networks.

[46]  M. Furst,et al.  Neural net implementation for assigning a product to a production line , 1989, International 1989 Joint Conference on Neural Networks.

[47]  Ramesh Sharda,et al.  Connectionist approach to time series prediction: an empirical test , 1992, J. Intell. Manuf..

[48]  Soumitra Dutta,et al.  Bond rating: A non-conservative application of neural networks , 1988 .

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

[50]  Leorey Marquez.  Function approximation using neural networks: a simulation study , 1992 .

[51]  S. Ghosh,et al.  An application of a multiple neural network learning system to emulation of mortgage underwriting judgements , 1988, IEEE 1988 International Conference on Neural Networks.

[52]  Jun Wang,et al.  Neurally-inspired stochastic algorithm for determining multi-stage multi-attribute sampling inspection plans , 1991, J. Intell. Manuf..

[53]  Ken'ichi Kamijo,et al.  Stock price pattern recognition-a recurrent neural network approach , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[54]  Charles L. Britton,et al.  Neural network models for Linear Programming , 1989 .

[55]  Shou-Jen Lee,et al.  Design optimization with back-propagation neural networks , 1991, J. Intell. Manuf..

[56]  Donald E. Brown,et al.  A Neural Network Implementation of a Data Association Algorithm , 1990, INFORMS J. Comput..

[57]  Jun Wang,et al.  Recurrent neural networks for linear programming: Analysis and design principles , 1992, Comput. Oper. Res..

[58]  D. Werra,et al.  Tabu search: a tutorial and an application to neural networks , 1989 .

[59]  James P. Ignizio,et al.  Neural networks and operations research: An overview , 1992, Comput. Oper. Res..

[60]  Paul A. Fishwick,et al.  Time series forecasting using neural networks vs. Box- Jenkins methodology , 1991, Simul..

[61]  Kristin P. Bennett,et al.  Decision Tree Construction Via Linear Programming , 1992 .

[62]  Joseph W. Goodman,et al.  Backpropagation and Its Application to Handwritten Signature Verification , 1988, NIPS.

[63]  J. Utans,et al.  Selecting neural network architectures via the prediction risk: application to corporate bond rating prediction , 1991, Proceedings First International Conference on Artificial Intelligence Applications on Wall Street.

[64]  Chee-Kit Looi,et al.  Neural network methods in combinatorial optimization , 1992, Comput. Oper. Res..

[65]  Satheesh Ramachandran,et al.  Neural network-based design of cellular manufacturing systems , 1991, J. Intell. Manuf..

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

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

[68]  V. C. Barbosa,et al.  Towards a stochastic neural model for combinatorial optimization , 1989, International 1989 Joint Conference on Neural Networks.

[69]  Sukhan Lee,et al.  Neural computation for collision-free path planning , 1991, J. Intell. Manuf..

[70]  David Lowe,et al.  The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis , 1990, Neural Networks.

[71]  Jun Wang,et al.  A feedforward neural network for multiple criteria decision making , 1992, Comput. Oper. Res..

[72]  G. Anandalingam.  Artificial Intelligence Based Approaches for Solving Hierarchical Optimization Problems , 1989 .

[73]  L. C. Rabelo,et al.  Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS scheduling , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[74]  John S. Shawe-Taylor,et al.  Linear programming algorithm for neural networks , 1990, Neural Networks.

[75]  P. M. Shea,et al.  Detection of explosives in checked airline baggage using an artificial neural system , 1989, International 1989 Joint Conference on Neural Networks.

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

[77]  Robert L. Winkler,et al.  The accuracy of extrapolation (time series) methods: Results of a forecasting competition , 1982 .