Immune clonal selection network and its learning algorithm

Hai Feng Du; Li Cheng Jiao; Mao Guo Gong; Ruo Chen Liu

Immune clonal selection network and its learning algorithm

Hai Feng Du
, Li Cheng Jiao
, Mao Guo Gong
, Ruo Chen Liu

公共政策与管理学院

Xidian University

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

源语言	英语
页（从-至）	198-204
页数	7
期刊	Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
卷	18
期	2
出版状态	已出版 - 4月 2005

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title = "Immune clonal selection network and its learning algorithm",

abstract = "Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.",

keywords = "Clonal selection, Learning algorithm, Lyapunov theory",

author = "Du, \{Hai Feng\} and Jiao, \{Li Cheng\} and Gong, \{Mao Guo\} and Liu, \{Ruo Chen\}",

year = "2005",

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T1 - Immune clonal selection network and its learning algorithm

AU - Du, Hai Feng

AU - Jiao, Li Cheng

AU - Gong, Mao Guo

AU - Liu, Ruo Chen

PY - 2005/4

Y1 - 2005/4

N2 - Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

AB - Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

KW - Clonal selection

KW - Learning algorithm

KW - Lyapunov theory

UR - https://www.scopus.com/pages/publications/19644371827

M3 - 文章

AN - SCOPUS:19644371827

SN - 1003-6059

VL - 18

SP - 198

EP - 204

JO - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

JF - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

IS - 2

ER -

Immune clonal selection network and its learning algorithm

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