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ORCIDAlgorithms and Architectures, 1998
- Cornelius T. Leondes:
Algorithms and Architectures. Neural network systems techniques and applications 1, Morgan Kaufmann 1998, ISBN 978-0-12-443861-3 - Cornelius T. Leondes:
Preface. xix-xxiv - Jason A. S. Freeman, Mark J. L. Orr, David Saad:
Statistical theories of learning in radial basis function networks. 1-59 - Jung Hwan Kim, Hyunseo Oh, Sung-Kwon Park, Youngnam Han:
Synthesis of three-layer threshold networks. 61-86 - Mikko Lehtokangas, Jukka Saarinen, Petri Salmela, Kimmo Kaski:
Weight initialization techniques. 87-121 - Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Fast computation in hamming and hopfield networks. 123-154 - Jennie Si, Anthony N. Michel:
Multilevel neurons. 155-179 - Sumio Watanabe, Kenji Fukumizu:
Probabilistic design. 181-229 - M. Daniel Tom, Manoel Fernando Tenorio:
Short time memory problems. 231-260 - Pau-Choo Chung, Ching-Tsorng Tsai:
Reliability issue and quantization effects in optical and electronic network implementations of hebbian-type associative memories. 261-291 - Angelo Monfroglio:
Finite constraint satisfaction. 293-361 - Okan K. Ersoy:
Parallel, self-organizing, hierarchical neural network systems. 363-400 - Marco Bove, Massimo Grattarola, Giuseppe Massobrio, Michele Giugliano, Sergio Martinoia:
Dynamics of networks of biological neurons: Simulation and experimental tools. 401-423 - Yun-Chung Chu:
Estimating the dimensions of manifolds using delaunay diagrams. 425-456
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