| ### 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

### N

Nearest neighbor methods, 107-108, 152, 216
Nelder-Mead simplex search, 161
Nervous systems, 3-4
Neural networks
as optimizing systems, 183
power of, 35, 37
Neurons, 1
Newton's method, 128, 145, 152. See also Quasi-Newton methods
as classical technique, 170-172, 179
linear regression and, 294-295
Node splitting, 212-215
Noise, 157, 247-248, 273-274. See also Jitter
effects of, 277-292
static, 290-291
Nonconvex regions, 33-35
Nonlinearity, 15, 284-285, 288
Nonrandom initialization, 105-106
decision tree classifier for, 108-109
discriminant analysis for, 107-108
fuzzy rule systems for, 110
principal components analysis for, 106
prototype, 108
symbolic rule systems for, 109-110
Notation for layered network, 31
NOT function, 109

Books24x7.com, Inc. © 1999-2001 – Feedback