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1.
Wallenstein G.V. The role of thalamic I GABA in generating spike-wave discharges during petit mal seizures // Neuroreport, 1994. Vol. 5, N 11.-С.1409-1412

2.
Mousavi Madjid S. ANN implementation of stereo vision using a multi-layer feedback architecture // IEEE Trans. Syst., Man. and Cybern., 1994. Vol. 24, N 8.-С.1220-1238

3.
A methodology using fuzzy logic to optimize feedforward artificial neural network configurations // IEEE Trans. Syst., Man, and Cybern., 1994. Vol. 24, N 5.-С.760-768

4.
Alvager The use of artificial neural networks in biomedicine technologies: An introduction // Biomed. Instrum. and Technol., 1994. Vol. 28, N 4.-С.315-322

5.
Kyung K.H. Acceleration based learning control of robotic manipulators using a multi-layered neural networks // IEEE Trans. Syst., Man. and Cybern., 1994. Vol. 24, N 8.-С.1265-1272

6.
Buntine Wray L. Computing second derivatives in feed-forward networks: A review // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.480-488

7.
Sutton Granger G. Effects of normalization constraints on competitive learning // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.502-504

8.
Miles Coe F. The microcircuit associative memory: A biologicaly motivated memory architecture // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.424-435

9.
Chen David S. A robust back propagation learning algorithm for function approximation // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.467-479

10.
Quantization effects in digitally behaving circuit implementations of Kohonen networks // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.450-458

11.
Mortara A communication architecture tailored for analog VLSI antificial neural networks: Intrinsic performance and limitations // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.459-466

12.
Van Hulle Marc M. On a novel unsupervised competitive learning algorithm for scalar quantization // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.498-501

13.
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

14.
Phansalkar V.V. Analysis of the back-propagation algorithm with momentum // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.505-506

15.
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

16.
Corwin Edward M. An iterative method for training multilayer networks with threshold functions // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.507-508

17.
First-order versus second order single-layer recurrent neural networks // IEEE Trans. Neural Networks., 1994. Vol. 5, N 3.-С.511-513

18.
Psichogios Dimitris C. SVD-NET: An algorithm that automatically selects network structure // IEEE Trans. Neural Networks., 1994. Vol. 5, N 3.-С.513-515

19.
An accelerated learning algorithm for multilayer perceptron networks // IEEE Trans. Neural Networks, 1994. Vol. 5, N 3.-С.493-497

20.
Parisini T. Neural networks for feedback feedforward nonlinear control systems // IEEE Trans. Neural Networks., 1994. Vol. 5, N 3.-С.436-449

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