Поисковый запрос: (<.>S=МНОГОСЛОЙНЫЕ ПЕРЦЕПТРОНЫ<.>) |
Общее количество найденных документов : 32
Показаны документы с 1 по 20
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1.
| Yang Complexity issues in natural gradient descent method for training multilayer perceptrons // Neural Comput., 1998. Vol. 10, N 8.-С.2137-2157
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2.
| Liu C.S. A new training algorithm multilayer discrete perceptrons // Neural, Parall. and Sci. Comput., 1998. Vol. 6, N 2.-С.217-228
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3.
| Karras D.A. On applying multilayer perceptron learning properties to (pseudo) random number generation and evaluation // Neural, Parall. and Sci. Comput., 1998. Vol. 6, N 4.-С.513-521
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| Belue Lisa M. Selecting optimal experiments for multiple output multilayer perceptrons // Neural Comput., 1997. Vol. 9, N 1.-С.161-183
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| Zhang D. A parallel digital layered perceptrons implementation // Neural, Parall. and Sci. Comput., 1996. Vol. 4, N 4.-С.493-504
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| Initializing weights of a multilayer perceptron network by using the orthogonal least squares algorithm // Neural Comput., 1995. Vol. 7, N 5.-С.982-999
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| Каплинский А.И. О построении быстро сходящихся методов негладкой оптимизации многослойного перцептрона // Компьютериз. в мед.. -Воронеж, 1994.-С.113-120
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| An accelerated learning algorithm for multilayer perceptron networks // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.493-497
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| Chiang Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptron // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.516-519
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| Oh Effects of nonlinear transformations on correlation between weighted sums in multilayer perceptron // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.508-510
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| Pal Sankar K. Selection of optimal set of weights in a layered network using genetic algorithms // Inf. Sci.. -USA, 1994. Vol. 80, N 3-4.-С.213-234
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| Rognvaldssen On langevin updating in multilayer perceptrons // Neural Comput, 1994. Vol. 6, N 5.-С.916-926
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13.
| Anderson Dennis W. Improving the back propagation algorithm using scaler multiplication // Trans. Ill. State Acad. Sci, 1994. Vol. 87, Suppl..-С.41
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14.
| Fogel David B. Using evolutionary programming to create neural networks that are capable of playing tic-tac-toc // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 28-Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 2.-С.875-880
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| On decomposing MPLs // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 29-Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 3.-С.1414-1418
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| Stalin Vectorized backpropagation and automatic pruning for MLP network optimization // IEEE Int. Conf. Neural Networks, San Francisco, Calif. March 28 - Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 3.-С.1427-1432
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17.
| Kerlirzin P. Robustness in multilayer perceptrons // Neural Comput., 1993. Vol. 5, N 3.-С.473-482
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18.
| Back Andrew D. A simplified gradient algorithm for II R synapse multilayer perceptrons // Neural Comput., 1993. Vol. 5, N 3.-С.456-462
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19.
| Di Martino M. An efficient algorithm for the binary classification of patterns using MLP-networks // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 28-Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 2.-С.936-943
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20.
| Errington Phil A. Classification of chromosomes using a combination of neural networks // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 29 - Apr. 1. 1993. -Piscataway (N. J.), 1993, Vol. 3.-С.1236-1241
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