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ORCIDNeurocomputing, Volume 10
Volume 10, Number 1, January 1996
- Carl G. Looney:
Stabilization and speedup of convergence in training feedforward neural networks. 7-31 - Rossella Cancelliere, Roberto Gemello:
Efficient training of Time Delay Neural Networks for sequential patterns. 33-42 - Toshinao Ishii, Kazuo Kyuma:
Configuring interaction of memorized patterns with an asymmetric Hebbian rule for recurrent neural networks. 43-53 - V. V. Vinod, Sujoy Ghose:
Growing nonuniform feedforward networks for continuous mappings. 55-69 - Masafumi Hagiwara:
Self-organizing feature map with a momentum term. 71-81 - Yonghong Tan, Achiel R. Van Cauwenberghe:
Optimization techniques for the design of a neural predictive controller. 83-96
Volume 10, Number 2, March 1996
- Moshe Leshno, Yishay Spector:
Neural network prediction analysis: The bankruptcy case. 125-147 - Donald K. Wedding II, Krzysztof J. Cios:
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model. 149-168 - 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 - Mary Malliaris, Linda Salchenberger:
Using neural networks to forecast the S & P 100 implied volatility. 183-195 - Akira Hirose, Rolf Eckmiller:
Proposal of frequency-domain multiplexing in optical neural networks. 197-204
Volume 10, Number 3, April 1996
- Iebeling Kaastra, Milton S. Boyd:
Designing a neural network for forecasting financial and economic time series. 215-236 - David Brownstone:
Using percentage accuracy to measure neural network predictions in Stock Market movements. 237-250 - Thorsten Poddig, Heinz Rehkugler:
A 'world' model of integrated financial markets using artificial neural networks. 251-273 - Tim Chenoweth, Zoran Obradovic:
A multi-component nonlinear prediction system for the S&P 500 Index. 275-290 - Sang-Kyoon Kim, Jin Wook Kim, Hang Joon Kim:
On-line recognition of cursive Korean characters using neural networks. 291-305
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 - Jayanta Basak, C. A. Murthy, Sankar K. Pal:
A self-organizing network for mixed category perception. 341-358 - Graham P. Fletcher, Chris J. Hinde:
Producing evidence for the hypotheses of large neural networks. 359-373 - Amitava Datta, Swapan K. Parui:
A dynamic neural net to compute convex hull. 375-384 - Torbjørn Eltoft, Rui J. P. de Figueiredo:
Pattern classification of non-sparse data using optimal interpolative nets. 385-403 - Offer Schwartzglass, Aharon J. Agranat:
VLSI implementation of pulsating neural networks. 405-413
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