The importance of input variables to a neural network fault-diagnostic system for nuclear power plants
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[1] R. E. Uhrig,et al. A self-optimizing stochastic dynamic node learning algorithm for layered neural networks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[2] W. Freeman. The physiology of perception. , 1991, Scientific American.
[3] Maureen Caudill. Using neural nets, Part 2: fuzzy decisions , 1990 .
[4] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[5] Jocelyn Sietsma,et al. Creating artificial neural networks that generalize , 1991, Neural Networks.
[6] Calculus with analytic geometry - Alternate Edition , 1983 .
[7] Eric B. Bartlett,et al. Nuclear power plant status diagnostics using an artificial neural network , 1992 .
[8] Robert Hecht-Nielsen,et al. Theory of the backpropagation neural network , 1989, International 1989 Joint Conference on Neural Networks.
[9] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.
[10] Maureen Caudill,et al. Neural networks primer, part III , 1988 .
[11] Gordon B. Davis,et al. Fortran 77: A Structured, Disciplined Style , 1983 .
[12] T. W. Kerlin,et al. Nuclear power plant status diagnostics using simulated condensation: an auto-adaptive computer learning technique , 1990 .
[13] Pamela Morris,et al. Statistics, a first course , 1981 .
[14] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[15] D. G. Zill. A first course in differential equations with applications , 1982 .
[16] Maureen Caudill. Using neural nets: diagnostic expert nets , 1990 .
[17] Maureen Caudill. Using neural nets, part 3: fuzzy cognitive maps , 1990 .
[18] CaudillMaureen. Neural networks primer, part I , 1987 .
[19] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[20] S. Nolfi,et al. Learning to understand sentences in a connectionist network , 1988, IEEE 1988 International Conference on Neural Networks.
[21] 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.
[22] David Hillman,et al. Integrating neural nets and expert systems , 1990 .
[23] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[24] Paul J. Werbos,et al. Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[25] A. Basu,et al. A dynamic node architecture scheme for backpropagation neural networks , 1991 .
[26] Maureen Caudill. Using neural nets: making an expert network , 1990 .
[27] M. Caudill. Using neural nets: representing knowledge, part 1 , 1989 .
[28] Daniel J. Amit,et al. Attractor neural networks and biological reality: associative memory and learning , 1989, Future Gener. Comput. Syst..
[29] Yamashita,et al. Backpropagation algorithm which varies the number of hidden units , 1989 .