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基于自适应神经模糊推理的精馏分离序列综合
引用本文:董宏光,秦立民,匡国柱,姚平经.基于自适应神经模糊推理的精馏分离序列综合[J].广州大学学报(自然科学版),2004,3(1):36-40.
作者姓名:董宏光  秦立民  匡国柱  姚平经
作者单位:大连理工大学,化工学院,辽宁,大连,116012;大连理工大学,化工学院,辽宁,大连,116012;大连理工大学,化工学院,辽宁,大连,116012;大连理工大学,化工学院,辽宁,大连,116012
摘    要:模糊推理能够反映自然语言要素信息传递特性,自适应神经技术能够实现优化建模,通过抽象有效重组判据参数提炼模糊if-then规则,通过构造样本数据进行自适应神经学习训练,根据模型优化参数创建Sugeno模糊推理模型,系统化提出基于自适应神经模糊推理的精馏分离序列优化综合方法。

关 键 词:自适应  神经网络  模糊推理  精馏分离序列综合
文章编号:1671-4229(2004)01-0036-05
修稿时间:2003年8月6日

Optimization synthesis of distillation separation sequence with application to adaptive-network-based fuzzy inference
DONG Hong-guang,QIN Li-min,KUANG Guo-zhu,YAO Ping-jing.Optimization synthesis of distillation separation sequence with application to adaptive-network-based fuzzy inference[J].Journal og Guangzhou University:Natural Science Edition,2004,3(1):36-40.
Authors:DONG Hong-guang  QIN Li-min  KUANG Guo-zhu  YAO Ping-jing
Abstract:Fuzzy logic inference can reflect the information transmission characteristic of the key elements of the natural language, and adaptive neural network technology can realize the optimization of the model. Fuzzy if-then rules have been induced by way of abstracting valid verdict parameters, then learning and training based on neural network have been accomplished adaptively, and according to the optimized parameter of the model, Sugeno fuzzy inference system has been established. The optimization synthesis method of distillation separation sequence with application to adaptive network-based fuzzy inference has been put forward systematically.
Keywords:adaptive learning and training  neural network  fuzzy logic inference  distillation separation sequence synthesis
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