Fuzzy rule-based modeling of a class of nonlinear complex systems

被引：0
|
作者：
Vassileva, S [1 ]
机构：
[1] BAS, Inst Control & Syst Res, Sofia 1113, Bulgaria
来源：
FUZZY LOGIC AND INTELLIGENT TECHNOLOGIES FOR NUCLEAR SCIENCE AND INDUSTRY | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Increasing accumulation of industrial, agricultural and municipal wastes have a serious impact on the ecological balance in nature. That is why the creation of new technologies including recycling of waste in industry and agriculture is a task of major priority. The present work deals with fuzzy and neuro-fuzzy modeling technique implementation in organic waste treatment A fuzzy inference system (FIS) META was created by using real data from a great number of repeated experiments Their rule base was optimized by adaptive neural-network (NN) approach. The obtained fuzzy modeling system was implemented on a real process for methane production from organic wastes.
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页码：91 / 98
页数：8
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