DocumentCode
3257362
Title
A learning machine that evolves
Author
Nakano, Kaoru ; Hiraki, Hideaki ; Ikeda, Shiro
Author_Institution
Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan
Volume
2
fYear
1995
fDate
29 Nov-1 Dec 1995
Firstpage
808
Abstract
We propose a simple model of a learning machine that evolves. When a classification problem is given, a perceptron like learning machine obtains a proper set of feature detecting cells through mating, mutation, and natural selection. Computer simulation showed the expected results. This is one of our trials to approach the evolutionary system in the real world
Keywords
feature extraction; genetic algorithms; learning (artificial intelligence); pattern classification; perceptrons; classification problem; computer simulation; evolutionary system; feature detecting cells; mating; mutation; natural selection; perceptron like learning machine; real world; Backpropagation; Computer simulation; Computer vision; Evolutionary computation; Feature extraction; Genetic mutations; Machine learning; Physics; Robotics and automation; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2759-4
Type
conf
DOI
10.1109/ICEC.1995.487490
Filename
487490
Link To Document