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|Title:||Gains self-tuning of a large compliance system by combining artificial neural networks and genetic algorithms||Authors:||Yuan, Yuan.||Keywords:||DRNTU::Engineering::Mechanical engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
|Issue Date:||1998||Abstract:||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.||URI:||http://hdl.handle.net/10356/19862||Rights:||NANYANG TECHNOLOGICAL UNIVERSITY||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||MAE Theses|
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