DocumentCode
1661629
Title
Neurocomputing for large-scale design automation
Author
Adeli, Hojjat
Author_Institution
Coll. of Eng., Ohio State Univ., Columbus, OH, USA
fYear
1995
Firstpage
288
Lastpage
291
Abstract
The author and his associates have been working on creating novel design theories and computational models with two broad objectives: automation and optimization. The paper is a summary of research done by the author and his associates recently. Novel neurocomputing algorithms are presented for large scale design optimization. This research demonstrates how a new level is achieved in design automation through the ingenious use and integration of a novel computational paradigm, mathematical optimization, and new high performance computer architecture
Keywords
design engineering; neural nets; optimisation; computational models; high performance computer architecture; large scale design automation; large scale design optimization; mathematical optimization; neurocomputing algorithms; novel design theories; Computer networks; Design automation; Design optimization; Large-scale systems; Lyapunov method; Neural networks; Shape; Steel; Transmission line matrix methods; Variable speed drives;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-7174-2
Type
conf
DOI
10.1109/ANNES.1995.499491
Filename
499491
Link To Document