March 2010
Intermediate to advanced
150 pages
7h 13m
English
book
Introduction to Pattern Recognition: A Matlab Approach
by Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras
Content preview from Introduction to Pattern Recognition: A Matlab Approach
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76 CHAPTER 2 Classifiers Based on Cost Function Optimization
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Class 11 training vector
Class 21 training vector
FIGURE 2.16
(a) Training set for Example 2.8.2. (b)–(d) Decision regions formed by the 2-layer FNN with three, four, and
ten hidden-layer nodes, respectively, trained with the adaptive BP algorithm with learning rate 0.01 and
10,000 iterations.
Table 2.11 Results for the FNNs Trained by the Adaptive BP
Algorithm, with Learning Rate 0.01 and 10,000 Iterations
fro m Ex a mple 2.8.2
Three ...
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