Hybrid Self-Organizing Modeling Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Onwubolu, Godfrey C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 211
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Statistical physics.; Dynamical systems.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.; Applications of Mathematics.

The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. However, it is known to often under-perform on non-parametric regression tasks, while time series modeling GMDH exhibits a tendency to find v...

Table of Contents:

• Hybrid Computational Intelligence and GMDH Systems
• Hybrid Genetic Programming and GMDH System: STROGANOFF
• Hybrid Genetic Algorithm and GMDH System
• Hybrid Differential Evolution and GMDH Systems
• Hybrid Particle Swarm Optimization and GMDH System
• GAME – Hybrid Self-Organizing Modeling System Based on GMDH.