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Publisher: Elsevier

Volume 10, Number 8, 1 November 1997

Stability Analysis of Learning Algorithms for Blind Source Separation
pp. 1345-1351(7)
Authors: Amari S.-i.; Chen, T.; Cichocki, A.

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Chaos in Neural Networks Composed of Coincidence Detector Neurons
pp. 1353-1359(7)
Authors: Watanabe, M.; Aihara, K.

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Efficient Partition of Learning Data Sets for Neural Network Training
pp. 1361-1374(14)
Authors: Tetko, I.V.; Villa, A.E.P.

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Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme
pp. 1375-1390(16)
Authors: Hoshino, O.; Usuba, N.; Kashimori, Y.; Kambara, T.

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Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons
pp. 1435-1443(9)
Authors: Stager, F.; Agarwal, M.

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Neural Network Smoothing in Correlated Time Series Context
pp. 1445-1453(9)
Authors: Badran, F.; Thiria, S.

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Some numerical aspects of the training problem for feed-forward neural nets
pp. 1455-1463(9)
Authors: J; Stella, F.; Hall, G.

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Characteristic Functions and Process Identification by Neural Networks
pp. 1465-1471(7)
Authors: dente, J.A.; Vilela Mendes, R.

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A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering
pp. 1523-1531(9)
Authors: Baykal, B.; Constantinides, A.G.

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Proving Hardness of Neural Network Training Problems
pp. 1533-1534(2)
Author: Schmitt, M.

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