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Neurocomputing, Volume 3
Volume 3, Number 1, 1991
- Shih-Lin Hung, Hojjat Adeli:
A model of perceptron learning with a hidden layer for engineering design. 3-14 - Kye Hyun Kim, Chong Ho Lee, Bo Yeon Kim, Hee Yeung Hwang:
Neural optimization network for minimum-via layer assignment. 15-27 - Angelo Monfroglio:
Connectionist networks for constraint satisfaction. 29-49 - F. M. Murtagh:
Neural networks for statistical and economic data. 51-52
Volume 3, Number 2, 1991
- Seho Oh, Robert J. Marks II, Dennis P. Sarr:
Homogeneous alternating projection neural networks. 69-95 - Nobuo Funabiki, Yoshiyasu Takefuji
:
A parallel algorithm for solving the 'Hip' games. 97-106
Volume 3, Number 3, 1991
- Athanasios V. Vasilakos
:
Nonlinear ergodic epsilon-optimal discretized reward-penalty learning automata and their application to adaptive routing algorithms. 111-124 - Abhay B. Bulsari, Henrik Saxén
:
System identification of a biochemical process using feed-forward neural networks. 125-133 - Benjamin L. Schwartz, Prasanta Das, John B. Koch:
Initialization in Hopfield networks. 135-145
Volume 3, Number 4, 1991
- Petri A. Jokinen:
A nonlinear network model for continuous learning. 157-176 - Claas de Groot, Diethelm Würtz:
Analysis of univariate time series with connectionist nets: A case study of two classical examples. 177-192
Volume 3, Number 5, 1991
- Silva Amato, Bruno Apolloni, Paolo Caporali, Ugo Madesani, Anna Maria Zanaboni:
Simulated annealing approach in backpropagation. 207-220 - Ladislav Andrey:
Simple biological neural networks and stability criteria for equilibrium memories. 221-230 - Nikolai S. Belliustin, Sergei O. Kuznetsov, Irina V. Nuidel
, Vladimir G. Yakhno:
Neural networks with close nonlocal coupling for analyzing composite image. 231-246 - Martin Blazek, Petr Pancoska, Timothy A. Keiderling:
Backpropagation neural network analysis of circular dichroism spectra of globular proteins. 247-257 - Vladimír Chudý, Vladimír Hapák, Lucius Chudý:
Isolated word recognition in Slovak via neural nets. 259-282 - Janus Drózd:
Network Shell - A software system supporting neural network simulation. 283-285 - David Hrycej:
Invariant features by self-organization. 287-292
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