Neurocomputing, Volume 10

Volume 10, Number 1, January 1996

• Carl G. Looney:
  Stabilization and speedup of convergence in training feedforward neural networks. 7-31
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• Rossella Cancelliere, Roberto Gemello:
  Efficient training of Time Delay Neural Networks for sequential patterns. 33-42
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• Toshinao Ishii, Kazuo Kyuma:
  Configuring interaction of memorized patterns with an asymmetric Hebbian rule for recurrent neural networks. 43-53
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• V. V. Vinod, Sujoy Ghose:
  Growing nonuniform feedforward networks for continuous mappings. 55-69
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• Masafumi Hagiwara:
  Self-organizing feature map with a momentum term. 71-81
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• Tan Yonghong, Achiel R. Van Cauwenberghe:
  Optimization techniques for the design of a neural predictive controller. 83-96
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Volume 10, Number 2, March 1996

• Moshe Leshno, Yishay Spector:
  Neural network prediction analysis: The bankruptcy case. 125-147
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• Donald K. Wedding II, Krzysztof J. Cios:
  Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model. 149-168
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• Nowrouz Kohzadi, Milton S. Boyd, Bahman Kermanshahi, Iebeling Kaastra:
  A comparison of artificial neural network and time series models for forecasting commodity prices. 169-181
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• Mary Malliaris, Linda Salchenberger:
  Using neural networks to forecast the S & P 100 implied volatility. 183-195
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• Akira Hirose, Rolf Eckmiller:
  Proposal of frequency-domain multiplexing in optical neural networks. 197-204
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Volume 10, Number 3, April 1996

• Iebeling Kaastra, Milton S. Boyd:
  Designing a neural network for forecasting financial and economic time series. 215-236
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• David Brownstone:
  Using percentage accuracy to measure neural network predictions in Stock Market movements. 237-250
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• Thorsten Poddig, Heinz Rehkugler:
  A 'world' model of integrated financial markets using artificial neural networks. 251-273
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• Tim Chenoweth, Zoran Obradovic:
  A multi-component nonlinear prediction system for the S&P 500 Index. 275-290
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• Sang-Kyoon Kim, Jin Wook Kim, Hang Joon Kim:
  On-line recognition of cursive Korean characters using neural networks. 291-305
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Volume 10, Number 4, April 1996

• Tae Horn Hann, Elmar Steurer:
  Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data. 323-339
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• Jayanta Basak, C. A. Murthy, Sankar K. Pal:
  A self-organizing network for mixed category perception. 341-358
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• G. P. Fletcher, Chris J. Hinde:
  Producing evidence for the hypotheses of large neural networks. 359-373
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• Amitava Datta, Swapan K. Parui:
  A dynamic neural net to compute convex hull. 375-384
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• Torbjørn Eltoft, Rui J. P. de Figueiredo:
  Pattern classification of non-sparse data using optimal interpolative nets. 385-403
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• Offer Schwartzglass, Aharon J. Agranat:
  VLSI implementation of pulsating neural networks. 405-413
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