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
D
Data, and generalization,
242
-
248
Davidon-Fletcher-Power (DFP) method,
174
-
175
Decay.
See
Weight decay
Decision tree classifier,
108
-
109
,
152
,
217
Defining length of schemata,
188
Degrees of freedom,
245
-
246
Delta attenuation,
72
,
84
-
85
Delta-bar-delta algorithm,
137
-
139
,
140
-
141
,
152
justification for,
139
-
140
Delta rule,
29
,
86
.
See also
Widrow-Hoff learning rule
Delta values,
55
-
57
Dendrites,
1
Density,
243
Dependency,
50
-
51
Depth versus size,
38
-
41
Derivative calculation,
49
,
53
-
57
,
66
Deterministic methods,
158
,
159
-
175
DFP (Davidon-Fletcher-Power) method,
174
-
175
Diagonal approximation,
131
Dichotomies,
20
-
22
,
42
-
44
Differentiability,
156
Direction set method,
161
-
163
Discriminant analysis,
107
-
108
,
306
-
310
Divide and conquer,
204
Dynamic node creation,
199
-
201
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