Computational intelligence: From mathematical point of view

被引：0
|
作者：
Qian, MP [1 ]
Gong, GL
机构：
[1] Peking Univ, Dept Probabil & Stat, Beijing 100871, Peoples R China
[2] Tsing Hua Univ, Dept Appl Math, Beijing 100084, Peoples R China
来源：
CHINESE SCIENCE BULLETIN | 1999年 / 44卷 / 10期
关键词：
computational intelligence; simulated annealing; neural network; genetic algorithm; evolutionary programming; self-organizing learning; self-adapting algorithm; hidden Markov model; concession strategy;
D O I：
10.1007/BF02885056
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A simple but illustrative survey is given on various approaches of computational intelligence with their features, applications and the mathematical tools involved, among which the simulated annealing, neural networks, genetic and evolutionary programming, self-organizing learning and adapting algorithms, hidden Markov models are recommended intensively. The common mathematical features of various computational intelligence algorithms are exploited. Finally, two common principles of concessive strategies implicated in many computational intelligence algorithms are discussed.
引用
收藏
页码：865 / 880
页数：16
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