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

• Κύριοι συγγραφείς: Nikolaev, Nikolay Y. (Συγγραφέας), Iba, Hitoshi (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2006.
• Σειρά: Genetic and Evolutionary Computation
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.