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Index

Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Russell D. Reed and Robert J. Marks II
Copyright © 1999 Massachusetts Institute of Technology

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Index

W

Weight clipping, 225
Weight decay, 63, 230-231
generalization and, 269-270, 285-287
momentum and, 93-95
Weight distributions, 100-102, 105
Weight elimination, 228-229
Weight initialization
constructive methods and, 217
nonrandom, 105-110
random, 97-105, 120, 121, 133
Weights
in back-propagation, 49-70
oscillation of, 213-214
perturbation of, 56
representational capability and, 32-46
updates for (see Algorithms)
Weight-space symmetries, 118-119
Well-posed problems, 266
Widrow-Hoff learning rule, 29-30, 202, 298. See also Least mean squares algorithm
Wrongly OFF error, 205-206
Wrongly ON error, 205-206

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