计算机工程与应用2011，Vol.47Issue(26)：55-57,78,4.DOI:10.3778/j.issn.1002-8331.2011.26.017
DNA免疫遗传算法及其应用
Research on DNA immune genetic algorithm and its application
文欣秀 1许光泞2
作者信息
- 1. 华东理工大学信息科学与工程学院,上海200237
- 2. 上海新华控制技术(集团)有限公司,上海200241
- 折叠
摘要
Abstract
Having researched on the construct of T-S fuzzy RBF neural network, the method based on the DNA biology mechanism and structure is studied for optimizing the coefficient of the consequence of T-S fuzzy RBF neural network via the DNA immune algorithm.In this method, the adjusting mechanism based on antibody concentration updating strategy can keep the antibody diversity and avoid the premature convergence.lt is used in soft-sensing modeling of the dry-point of gasoline delayed cooking.The experimental simulation results show that DNA immune algorithm is effective in the optimizing design of T-S fuzzy neural network system,and high accuracy model can be obtained.关键词
径向基函数(RBF)神经网络/DNA编码/DNA免疫遗传算法/T-S模糊模型Key words
Radial Basis Function(RBF) neural network/DNA coding/DNA immune genetic algorithm/T-S fuzzy model分类
信息技术与安全科学引用本文复制引用
文欣秀,许光泞..DNA免疫遗传算法及其应用[J].计算机工程与应用,2011,47(26):55-57,78,4.
