Поисковый запрос: (<.>S=МНОГОСЛОЙНЫЕ ПЕРЦЕПТРОНЫ<.>) |
Общее количество найденных документов : 32
Показаны документы с 1 по 20
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1.
| 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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2.
| 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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3.
| An accelerated learning algorithm for multilayer perceptron networks // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.493-497
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4.
| 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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5.
| Rognvaldssen On langevin updating in multilayer perceptrons // Neural Comput, 1994. Vol. 6, N 5.-С.916-926
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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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| 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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| 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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9.
| 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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10.
| 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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11.
| 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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12.
| 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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| Lippmann Richard P. Neural-net classifiers useful for speech recognition // IEEE Ist Int. Conf. Neural Networks, San Diego, Calif, June 21-24, 1987. -San Diego (Calif.), 1988, Vol. 4.-С.417-425
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14.
| Wright W.A. Probabilistic learning on a neural network // 1st IEE Int. Conf., Artif. Neural Networks, London, 16-18 Oct., 1989. -London, 1989.-С.153-157
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15.
| Okamoto Efficient presentations of learning samples to accelerate the convergence of learning in multilayer perceptron // Images 21st Century. -New York (N. Y.), 1989, Pt 6/6.-С.2040-2041
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16.
| Query-based learning applied to partially trained multilayer perceptrons // IEEE Trans, Neural Networks, 1991. Vol. 2, N 1.-С.131-136
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17.
| The multilayer perceptron as an approximation to a Bayes optimal diseriminant function // IEEE Trans. Neural Networks, 1990. Vol. 1, N 4.-С.286-298
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18.
| Chen Optimal initialization for multi-layer perceptrons // IEEE Int.Conf. Syst., Man, and Cybern., Los Angeles, Calif., Nov. 4-7, 1990. -New York (N. Y.), 1990.-С.370-372
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19.
| Choi Sensitivity analysis of multilayer perceptron with differentiable activation functions // IEEE Trans. Neural Networks, 1992. Vol. 3, N 1.-С.101-107
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20.
| 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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