Neurocomputing, Volume 3

Volume 3, Number 1, 1991

• S. L. 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