Artificial Neural Networks in Safety-critical Applications
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[1] H. R. Berenji,et al. Fuzzy Logic Controllers , 1992 .
[2] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[3] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[4] Teuvo Kohonen,et al. Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.
[5] Bart Kosko,et al. Fuzzy Engineering , 1996 .
[6] Demetri Psaltis,et al. Optical Neural Computers , 1987, Topical Meeting on Optical Computing.
[7] Jim Woodcock,et al. Using Z - specification, refinement, and proof , 1996, Prentice Hall international series in computer science.
[8] Liming Chen,et al. N-VERSION PROGRAMMINC: A FAULT-TOLERANCE APPROACH TO RELlABlLlTY OF SOFTWARE OPERATlON , 1995, Twenty-Fifth International Symposium on Fault-Tolerant Computing, 1995, ' Highlights from Twenty-Five Years'..
[9] L. Cooper,et al. When Networks Disagree: Ensemble Methods for Hybrid Neural Networks , 1992 .
[10] Sompolinsky,et al. Spin-glass models of neural networks. , 1985, Physical review. A, General physics.
[11] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[12] Stephen Grossberg,et al. A massively parallel architecture for a self-organizing neural pattern recognition machine , 1988, Comput. Vis. Graph. Image Process..
[13] Constance L. Heitmeyer,et al. Model Checking Complete Requirements Specifications Using Abstraction , 2004, Automated Software Engineering.
[14] Mahdi Mahfouf,et al. Unconstrained and constrained generalised predictive control of depth of anaesthesia during surgery , 2003 .
[15] Jose C. Principe,et al. Neural and adaptive systems : fundamentals through simulations , 2000 .
[16] John Fox,et al. A flexible architecture for autonomous agents , 1997, J. Exp. Theor. Artif. Intell..
[17] Ray L. Somorjai,et al. Application of Several Methods of Classification Fusion to Magnetic Resonance Spectra , 1996, Connect. Sci..
[18] Halbert White,et al. Artificial Neural Networks: Approximation and Learning Theory , 1992 .
[19] Geoffrey G. Towell,et al. Symbolic knowledge and neural networks: insertion, refinement and extraction , 1992 .
[20] John C. Cherniavsky,et al. Validation, Verification, and Testing of Computer Software , 1982, CSUR.
[21] A. Avizienis,et al. Dependable computing: From concepts to design diversity , 1986, Proceedings of the IEEE.
[22] Algirdas Avizienis,et al. The N-Version Approach to Fault-Tolerant Software , 1985, IEEE Transactions on Software Engineering.
[23] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[24] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry , 1969 .
[25] Jude W. Shavlik,et al. Extracting Refined Rules from Knowledge-Based Neural Networks , 1993, Machine Learning.
[26] Tommi Ojala,et al. Neuro-fuzzy systems in control , 1995 .
[27] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[28] L. P. J. Veelenturf,et al. Analysis and applications of artificial neural networks , 1995 .
[29] Hilary Buxton,et al. A hybrid approach to breast cancer diagnosis , 2001 .
[30] J. Zalewski,et al. Software safety analysis using rough sets , 1998, Proceedings IEEE Southeastcon '98 'Engineering for a New Era'.
[31] D. Ward,et al. Verification and validation of neural networks for safety-critical applications , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[32] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .
[33] Chuen-Chien Lee. FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .
[34] John Fox,et al. Safe and sound - artificial intelligence in hazardous applications , 2000 .
[35] Noel E. Sharkey,et al. Neural Nets and Diversity , 1995, SAFECOMP.
[36] Nikola Kasabov,et al. Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.
[37] Bev Littlewood,et al. Modeling software design diversity: a review , 2001, CSUR.
[38] Michael Kearns,et al. A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split , 1995, Neural Computation.
[39] Torres Wilfredo,et al. Software Fault Tolerance: A Tutorial , 2000 .
[40] Barry W. Boehm,et al. A spiral model of software development and enhancement , 1986, Computer.
[41] B. Kosko. Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[42] Joydeep Ghosh,et al. Hybrid intelligent architecture and its application to water reservoir control , 1997 .
[43] Christopher M. Bishop,et al. Novelty detection and neural network validation , 1994 .
[44] R. M. Pitblado,et al. A Modified Hazop Methodology For Safety Critical System Assessment , 1993 .
[45] Teuvo Kohonen,et al. Associative memory. A system-theoretical approach , 1977 .
[46] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[47] Eric N. Johnson,et al. REUSABLE LAUNCH VEHICLE ADAPTIVE GUIDANCE AND CONTROL USING NEURAL NETWORKS , 2001 .
[48] Ramanathan V. Guha,et al. CYC: A Midterm Report , 1990, AI Mag..
[49] Jonathan E. Fieldsend,et al. Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training , 2003 .
[50] D M Rodvold,et al. Artificial neural networks in clinical urology. , 1999, Urology.
[51] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[52] Stefan Wermter,et al. A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning , 1998, Hybrid Neural Systems.
[53] Noel E. Sharkey,et al. Combining diverse neural nets , 1997, The Knowledge Engineering Review.
[54] David S. Touretzky,et al. Connectionist Approaches to Language Learning , 1991 .
[55] Jim Austin,et al. Safety critical neural networks , 1995 .
[56] R. Tibshirani,et al. Combining Estimates in Regression and Classification , 1996 .
[57] Stephen Grossberg,et al. The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.
[58] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[59] Michael I. Jordan. Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .
[60] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[61] Dr. Hans Hellendoorn,et al. An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.
[62] D.R. Wallace,et al. Software verification and validation: an overview , 1989, IEEE Software.
[63] Iain Bate,et al. Architectural considerations in the certification of modular systems , 2002, Reliab. Eng. Syst. Saf..
[64] Marcello R. Napolitano,et al. Verifying Stability of Dynamic Soft-Computing Systems , 1997 .
[65] B. Kosko,et al. What is the best shape for a fuzzy set in function approximation? , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[66] I. Turksen,et al. Measurement of Membership Functions: Theoretical and Empirical Work , 2000 .
[67] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[68] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[69] Julian Morris,et al. Process Systems Applications of Artificial Neural Networks , 1995 .
[70] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[71] David Robertson,et al. Industrial Use of Safety-Related Expert Systems , 2000 .
[72] D Psaltis,et al. Optical implementation of the Hopfield model. , 1985, Applied optics.
[73] Amanda J. C. Sharkey,et al. On Combining Artificial Neural Nets , 1996, Connect. Sci..
[74] David Zipser,et al. Feature Discovery by Competive Learning , 1986, Cogn. Sci..
[75] Jude Shavlik,et al. A Framework for Combining Symbolic and Neural Learning , 1992 .
[76] Costas Kiparissides,et al. Mathematical Modelling and Sensitivity Analysis of High Pressure Polyethylene Reactors , 1986 .
[77] Sebastian Thrun,et al. Extracting Provably Correct Rules from Artificial Neural Networks , 1993 .
[78] Barry W. Boehm,et al. Software Engineering Economics , 1993, IEEE Transactions on Software Engineering.
[79] Robert A. Jacobs,et al. Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.
[80] R. Yager,et al. Analysis of Flexible Structured Fuzzy Logic Controllers , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[81] Watts S. Humphrey,et al. Managing the software process , 1989, The SEI series in software engineering.
[82] D. Keating-Wilkes,et al. THE COSTS OF ACCIDENTS AT WORK , 1999 .
[83] C. H. Sequin,et al. Fault tolerance in artificial neural networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[84] Lorenzo Strigini,et al. The reliability of diverse systems: a contribution using modelling of the fault creation process , 2001, 2001 International Conference on Dependable Systems and Networks.
[85] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.
[86] Nugroho Iwan Santoso,et al. Nuclear plant fault diagnosis using probabilistic reasoning , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).
[87] Jude W. Shavlik,et al. Knowledge-Based Artificial Neural Networks , 1994, Artif. Intell..
[88] Morris W. Hirsch,et al. Convergent activation dynamics in continuous time networks , 1989, Neural Networks.
[89] Rudolf Kruse,et al. A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation , 1993, IEEE International Conference on Neural Networks.
[90] Li-Xin Wang,et al. Adaptive fuzzy systems and control - design and stability analysis , 1994 .
[91] Felix Redmill. Safety Integrity Levels — theory and problems , 2000 .
[92] Neil R. Storey,et al. Safety-critical computer systems , 1996 .
[93] A. A. Mullin,et al. Principles of neurodynamics , 1962 .
[94] L. Wang,et al. Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[95] George J. Klir,et al. Fuzzy sets, uncertainty and information , 1988 .
[96] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[97] Sandra Simonsen-Anderson,et al. Safe and sound. , 2002, Nursing management.
[98] D. Partridge,et al. Engineering reliable neural networks , 1995 .
[99] Noel E. Sharkey,et al. The "Test and Select" Approach to Ensemble Combination , 2000, Multiple Classifier Systems.
[100] Bernard Widrow,et al. Adaptive switching circuits , 1988 .
[101] William B. Yates,et al. Engineering Multiversion Neural-Net Systems , 1996, Neural Computation.
[102] Ashish Darbari,et al. Rule Extraction from Trained ANN: A Survey , 2000 .
[103] Tim Kelly,et al. Arguing Safety - A Systematic Approach to Managing Safety Cases , 1998 .
[104] Dietmar Reinert,et al. Risk and system integrity concepts for safety-related control systems , 1993, Microprocess. Microsystems.
[105] Alan F. T. Winfield,et al. Designing Behaviour Based Systems Using the Space-time Distance Principle , 2001 .
[106] E. Hisdal. Are grades of membership probabilities , 1988 .
[107] Derek Partridge,et al. Software Diversity: Practical Statistics for Its Measurement and Exploitation | Draft Currently under Revision , 1996 .
[108] Tim Kelly,et al. Functional hazard analysis for highly integrated aerospace systems , 1998 .
[109] Ali H. Sayed,et al. LMS is H∞ Optimal , 1995 .
[110] Terrence L. Fine,et al. Sample Size Requirements for Feedforward Neural Networks , 1994, NIPS.
[111] W. W. Royce,et al. Managing the development of large software systems , 1970 .
[112] Lionel Tarassenko,et al. Clinical applications of artificial neural networks: Neural network analysis of sleep disorders , 2001 .
[113] Peter J. Fleming,et al. Fuzzy scheduling control of a gas turbine aero-engine: a multiobjective approach , 2002, IEEE Trans. Ind. Electron..
[114] Efrem G. Mallach. Emulator Architecture , 1975, Computer.
[115] Peter G. Bishop,et al. The Practicalities of Goal-Based Safety Regulation , 2001 .
[116] Petri Vuorimaa,et al. A neuro-fuzzy system for chemical agent detection , 1995, IEEE Trans. Fuzzy Syst..
[117] Hao Ying,et al. General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators , 1998, IEEE Trans. Fuzzy Syst..
[118] Misha Mahowald,et al. A silicon model of early visual processing , 1993, Neural Networks.
[119] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[120] Christian Genest,et al. Combining Probability Distributions: A Critique and an Annotated Bibliography , 1986 .
[121] Bev Littlewood,et al. Choosing Between Fault-Tolerance and Increased V&V for Improving Reliability , 2000, PDPTA.
[122] Stephen Grossberg,et al. Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions , 1976, Biological Cybernetics.
[123] Eric N. Johnson,et al. Adaptive guidance and control for autonomous launch vehicles , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).
[124] David S. Broomhead,et al. Multivariable Functional Interpolation and Adaptive Networks , 1988, Complex Syst..
[125] Hideyuki Takagi,et al. Neural networks designed on approximate reasoning architecture and their applications , 1992, IEEE Trans. Neural Networks.
[126] M. Sugeno,et al. Derivation of Fuzzy Control Rules from Human Operator's Control Actions , 1983 .
[127] Sergio B. Guarro,et al. Reliability, availability, maintainability and safety assessment: By Alain Villemeur. John Wiley & Sons Ltd, Baffins Lane, Chichester, West Sussex PO19 1UD, UK, ISBN 0-471-93048-2 (vol. 1) and ISBN 0-471-93049-0 (vol. 2) , 1994 .
[128] David M. Rodvold. A software development process model for artificial neural networks in critical applications , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[129] Mutsuo M. Yanase,et al. Fuzziness and Probability , 1985 .
[130] Peter A. Lindsay,et al. A systematic approach to software safety integrity levels , 1997, SAFECOMP.
[131] Fred Henrik Hamker,et al. Life-long learning Cell Structures--continuously learning without catastrophic interference , 2001, Neural Networks.
[132] Ian T. Nabney,et al. Practical Assessment of Neural Network Applications , 1997, SAFECOMP.
[133] Roger S. Pressman,et al. Software Engineering: A Practitioner's Approach , 1982 .
[134] B. W. Eddershaw,et al. Lessons Learned from the Failure of a Computer System Controlling a Nylon Polymer Plant , 1987 .
[135] Yoichi Hayashi,et al. A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules , 1990, NIPS.
[136] Joachim Diederich,et al. Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..
[137] W. Daniel Hillis,et al. The connection machine , 1985 .
[138] John E. Moody,et al. Towards Faster Stochastic Gradient Search , 1991, NIPS.
[139] Bev Littlewood,et al. Conceptual Modeling of Coincident Failures in Multiversion Software , 1989, IEEE Trans. Software Eng..
[140] Jose C. Principe,et al. Neural and adaptive systems , 2000 .
[141] David H. Krantz,et al. From Indices to Mappings: The Representational Approach to Measurement , 1991 .
[142] Fernando Santos Osório,et al. INSS : un système hybride neuro-symbolique pour l'apprentissage automatique constructif , 1998 .
[143] Nancy G. Leveson,et al. Safeware: System Safety and Computers , 1995 .
[144] Galina L. Rogova,et al. Combining the results of several neural network classifiers , 1994, Neural Networks.