Index
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Russell D. Reed and Robert J. Marks II
Copyright © 1999 Massachusetts Institute of Technology
Index
R
Radial basis functions,
198
,
288
Radial features,
114
-
116
Random initialization,
97
-
98
calculations for,
98
-
102
constrained,
103
-
105
error surface and,
120
,
121
,
133
parameters for,
100
-
102
Randomness
learning rate and,
80
on-line learning and,
60
,
80
search then converge method and,
147
Random restarts,
121
-
123
,
157
Regions, and hyperplanes,
42
-
44
Regression,
23
,
29
,
293
-
298
classification versus,
156
-
157
projection pursuit,
217
Regularization,
266
-
267
,
281
-
283
Reinforcement learning,
12
Replicated networks,
272
-
273
Representational capabilities,
31
-
47
Robustness,
157
Root mean square (RMS) error function,
77
,
222
,
285
Rosenblatt's perception,
28
-
29
Rprop (resilient propagation),
85
,
142
-
145
,
152
,
252
,
291
Rule-based systems,
109
-
110
,
217
,
275
-
276
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