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ORCIDNeurocomputing, Volume 8
Volume 8, Number 1, May 1995
- Andrzej Cichocki
, Rolf Unbehauen, Markus Lendl, Klaus Weinzierl:
Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction. 7-41 - Kazuhiro Tsuchiya, Yoshiyasu Takefuji:
A neural network algorithm for the no-three-in-line problem. 43-49 - Angelo Monfroglio:
Connectionist networks for pivot selection in linear programming. 51-78 - Simon Y. Foo, Yoshiyasu Takefuji, Harold Szu:
Scaling properties of neural networks for job-shop scheduling. 79-91 - Stefan Bergdoll, Uwe T. Koch:
BIOSIM - A biological neural network simulator for research and teaching, featuring interactive graphical user interface and learning capabilities. 93-112
Volume 8, Number 2, July 1995
- Jean-Yves Potvin, Christian Robillard:
Clustering for vehicle routing with a competitive neural network. 125-139 - Kyotaro Suzuki, Hideharu Amano, Yoshiyasu Takefuji:
Neural network parallel computing for multi-layer channel routing problems. 141-156 - David William Pearson:
Linear systems equivalent to artificial neural networks via Lie theory. 157-170 - Tevfik Bultan, Cevdet Aykanat:
Circuit partitioning using mean field annealing. 171-194 - Jeffrey L. Solka, James C. Perry, Brian R. Poellinger, George W. Rogers:
Fast computation of optimal paths using a parallel Dijkstra algorithm with embedded constraints. 195-212 - Fa-Long Luo, Rolf Unbehauen, Yan-Da Li:
A principal component analysis algorithm with invariant norm. 213-221
Volume 8, Number 3, August 1995
- Harold Szu, Simon Y. Foo:
Divide and conquer orthogonality principle for parallel optimizations in TSP. 249-261 - Nirwan Ansari, Dequan Liu:
The performance evaluation of a new neural network-based traffic management scheme for a satellite communication network. 263-282 - Sukhan Lee, Jun Park:
Dual-mode dynamics neural network for combinatorial optimization. 283-304 - David William Pearson:
Hopfield networks and symmetry groups. 305-314 - H. Nikolaus Schaller:
Design of neurocomputer architectures for large-scale constraint satisfaction problems. 315-339 - Charles X. Ling:
Overfitting and generalization in learning discrete patterns. 341-347 - Jason M. Kinser:
Inability of higher-order outer product learning to map random higher-order problems. 349-357
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