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Общее количество найденных документов : 32
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1-20 21-32

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

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

Asoh Nonlinear data analysis and multilayer perceptrons // IJCNN Int. Joint Conf. Neural Networks, Washington, 1989. -New York (N. Y.), 1989, Vol. 2.-С.411-415

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

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

The multilayer perceptron as an approximation to a Bayes optimal diseriminant function // IEEE Trans. Neural Networks, 1990. Vol. 1, N 4.-С.286-298

Query-based learning applied to partially trained multilayer perceptrons // IEEE Trans, Neural Networks, 1991. Vol. 2, N 1.-С.131-136

Choi Sensitivity analysis of multilayer perceptron with differentiable activation functions // IEEE Trans. Neural Networks, 1992. Vol. 3, N 1.-С.101-107

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

10.

Back Andrew D. A simplified gradient algorithm for II R synapse multilayer perceptrons // Neural Comput., 1993. Vol. 5, N 3.-С.456-462

11.

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

12.

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

13.

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

14.

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

15.

Burel Image compression using topological maps and MLP // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 29 - Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 2.-С.727-731

16.

Emmerson Martin D. Determining and improving the fault tolerance of multilayer perceptrons in a pattern-recognition application // IEEE Trans. Neural Networks, 1993. Vol. 4, N 5.-С.788-793

17.

Kerlirzin P. Robustness in multilayer perceptrons // Neural Comput., 1993. Vol. 5, N 3.-С.473-482

18.

Rognvaldsson Pattern discrimination using feedforward networksi a benehmark study of scaling behavior // Neural Comput., 1993. Vol. 5, N 3.-С.483-491

19.

Weber D.M. Detection of tonals in lofargrams using connectionist methods // IEEE Int. Conf. Neural Networks, San Francisco, Calif., March 29-Apr. 1, 1993. -Piscataway (N. J.), 1993, Vol. 3.-С.1662-1666

20.

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

1-20 21-32

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