Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods /

• Main Authors: Nikolaev, Nikolay Y. (Author), Iba, Hitoshi (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Series: Genetic and Evolutionary Computation
• Subjects: Computer science.; Computers.; Artificial intelligence.; Computer Science.; Theory of Computation.; Artificial Intelligence (incl. Robotics).; Computing Methodologies.

This book provides theoretical and practical knowledge for develop­ ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod­ els from data. The design of such tools contributes to better statistical data modelling whe...

Table of Contents:

• Inductive Genetic Programming
• Tree-Like PNN Representations
• Fitness Functions and Landscapes
• Search Navigation
• Backpropagation Techniques
• Temporal Backpropagation
• Bayesian Inference Techniques
• Statistical Model Diagnostics
• Time Series Modelling
• Conclusions.