Title :
The Research of Expert System of Laser Quenching Based on Genetic-Neural Network
Author :
Fan, Qingwu ; Wang, Pu ; Zhang, Lianbao ; Li, Jun
Author_Institution :
Coll. of Electr. Contro, Beijing Univ. of Technol.
Abstract :
Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching
Keywords :
expert systems; inference mechanisms; knowledge acquisition; laser materials processing; neural nets; radiation quenching; surface treatment; blue print design; expert system; genetic-neural network; inference engine; knowledge acquisition; surface laser quenching; Artificial intelligence; Artificial neural networks; Biological neural networks; Design optimization; Expert systems; Knowledge acquisition; Laser theory; Materials science and technology; Optical design; Surface emitting lasers; Expert System; Genetic Algorithms; Laser Quenching; Neural Network;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713523
