Adaptive Learning of Polynomial Networks

Genetic Programming, Backpropagation and Bayesian Methods

Authors:

ISBN: 978-0-387-31239-2 (Print) 978-0-387-31240-8 (Online)

Table of contents (11 chapters)

  1. No Access

    Book Chapter

    Pages 1-24

    Introduction

  2. No Access

    Book Chapter

    Pages 25-54

    Inductive Genetic Programming

  3. No Access

    Book Chapter

    Pages 55-80

    Tree-Like PNN Representations

  4. No Access

    Book Chapter

    Pages 81-110

    Fitness Functions and Landscapes

  5. No Access

    Book Chapter

    Pages 111-146

    Search Navigation

  6. No Access

    Book Chapter

    Pages 147-180

    Backpropagation Techniques

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    Book Chapter

    Pages 181-208

    Temporal Backpropagation

  8. No Access

    Book Chapter

    Pages 209-240

    Bayesian Inference Techniques

  9. No Access

    Book Chapter

    Pages 241-272

    Statistical Model Diagnostics

  10. No Access

    Book Chapter

    Pages 273-290

    Time Series Modelling

  11. No Access

    Book Chapter

    Pages 291-294

    Conclusions