New Issue: Neural Processing Letters. Vol. 13, Issue 2

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Neural Processing Letters

ISSN 1370-4621

http://www.wkap.nl/issuetoc.htm/1370-4621+13+2+2001

Vol. 13, Issue 2, April 2001.

TITLE: Using a New Model of Recurrent Neural Network for Control
AUTHOR(S): L. Boquete, L. M. Bergasa, R. Barea, R. Garcia,
M. Mazo
KEYWORD(S): intelligent control, Lyapunov stability, radial basis function,
recurrent neural network.
PAGE(S): 101-113

TITLE: Multi-step Learning Rule for Recurrent Neural Models: An
Application to Time Series Forecasting
AUTHOR(S): Ines M. Galvan, Pedro Isasi
KEYWORD(S): multi-step prediction, neural networks, time series, time
series modelling.
PAGE(S): 115-133

TITLE: Finite-Sample Convergence Properties of the LVQ1 Algorithm
and the Batch LVQ1 Algorithm
AUTHOR(S): Sergio Bermejo, Joan Cabestany
KEYWORD(S): LVQ1 algorithm, asymptotic convergence, online gradient
descent, finite-sample properties, BLVQ1 algorithm, Newton
optimisation.
PAGE(S): 135-157

TITLE: Learning with Nearest Neighbour Classifiers
AUTHOR(S): Sergio Bermejo, Joan Cabestany
KEYWORD(S): nearest neighbour classifiers, online gradient descent,
Learning Vector Quantization, hand-written character recognition.
PAGE(S): 159-181

TITLE: Generalizations of the Hamming Associative Memory
AUTHOR(S): Paul Watta, Mohamad H. Hassoun
KEYWORD(S): artificial neural network, associative memory, capacity,
error correction, Hamming net.
PAGE(S): 183-194

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