Mean squared error (MSE) function,
9,
50,
155
dynamic node creation and,
200
pattern weighting and,
151
Widrow-Hoff learning rule and,
29-
30
classical optimization and,
165
frequency response and,
93
gradient correlation and,
150-
151
impulse response and,
91-
92,
94
small-signal analysis and,
90-
95
Multilayer networks, importance of,
19
Multilayer perceptron (MLP)
as cascade of single-layer perceptrons,
31
compared to real nervous systems,
3-
4
representational capabilities of,
31-
47
universal approximation by,
35-
38