Analysis of the performance of a genetic algorithm-based system for message classification in noisy environments-Reference-Cited by-同舟云学术

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Analysis of the performance of a genetic algorithm-based system for message classification in noisy environments

Published:1987-08 Issue:2 Volume:27 Page:205-220
ISSN:0020-7373
Container-title:International Journal of Man-Machine Studies
language:en
Short-container-title:International Journal of Man-Machine Studies

Author:

Pettit Elaine J.,Pettit Michael J.

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. SAS User's Guide;Barr,1979

2. Genetic algorithms as function optimizers;Bethke,1980

3. Improving the performance of genetic algorighms in classifier systems;Booker,1985

4. Genetic algorithms for function optimization;Brindle,1981

5. The genetics of speciation at the diploid level;Carson;The American Naturalist,1975

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning in a Noisy Domain;IFAC Proceedings Volumes;1990-04

2. LEARNING IN A NOISY DOMAIN;Adaptive Systems in Control and Signal Processing 1989;1990

3. Adaptive rule-based optimisation of combustion in multiple burner installations;Expert Systems in Engineering Principles and Applications;1990

4. A survey of knowledge acquisition techniques and tools;Knowledge Acquisition;1989-03

5. ADAPTING TO NOISE;Artificial Intelligence in Real-Time Control 1988;1989

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