DocumentCode
2324331
Title
Neural networks and evolutionary computation. I. Hybrid approaches in artificial intelligence
Author
Weiß, Gerhard
Author_Institution
Inst. fur Inf., Tech. Univ. Munchen, Germany
fYear
1994
fDate
27-29 Jun 1994
Firstpage
268
Abstract
This paper focuses on the intersection of neural networks and evolutionary computation. It is addressed to researchers from artificial intelligence as well as the neurosciences. It provides a comprehensive and compact overview of hybrid work done in artificial intelligence, and shows the state of the art of combining artificial neural networks and evolutionary algorithms
Keywords
artificial intelligence; genetic algorithms; neural nets; reviews; artificial intelligence; artificial neural networks; evolutionary algorithms; evolutionary computation; evolutionary design; evolutionary training; hybrid approaches; neurosciences; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Biological neural networks; Evolution (biology); Evolutionary computation; Genetic algorithms; Intelligent networks; Parallel processing; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1899-4
Type
conf
DOI
10.1109/ICEC.1994.349941
Filename
349941
Link To Document