B
Neural Networks for Function Approximation
CONTENTS
B.2 Neural Networks Architectures
B.2.1 Multilayer Perceptron (MLP)
B.2.2 Radial Basis Function Networks (RBF)
B.2.3 High Order Neural Networks (HONN)
B.4.2 Lyapunov - Based Training
B.4.3 Steepest Descent Training
B.4.4 Recursive Least Squares Training
Central in the analysis and design of the NNRC framework discussed in Chapters 7 - 10 is overcoming the inability of knowing a priori the mathematical expressions ...
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