Gains self-tuning of a large compliance system by combining artificial neural networks and genetic algorithms

Gains self-tuning of a large compliance system by combining artificial neural networks and genetic algorithms

This project used two kinds of techniques in the field of artificial intelligence, the artificial neural network and the genetic algorithms, to self-tune the gain of a large compliance system a nonlinear servo pneumatic cylinder system for continuous load positioning.

Bibliographic Details
Main Author: Yuan, Yuan.
Other Authors: Sim, Siang Kok
Format: Thesis
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Mechanical engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/19862

Internet

http://hdl.handle.net/10356/19862

Similar Items