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模糊神经网络在跳汰机排料控制系统中的应用 被引量:2

Application of Fuzzy Neural Net in Discharging System of Jigging Machine
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摘要 针对跳汰机排料系统的非线性、时变性的特点,基于模糊控制系统本身不具备自学习能力和建立模糊控制规则中存在的不足,介绍了一种模糊神经网络控制系统,讨论了该控制系统的结构、原理及其运用MATLAB的设计方法,仿真结果表明,该控制方案切实有效。 Aimed at non-linear property of discharging of jigging machine,time-varying characteristic as well as the problems that self-learning ability is not available in the fuzzy control system and some shortages that are found in the law set up to govern the fuzzy control,the paper describes a fuzzy neural net control system and discussion is made on the structure and principle of the system as well as MATLAB based design method.Simulation and practice shows that this is a practical and effective control scheme.
作者 朱玉琴 姚鑫
出处 《选煤技术》 CAS 北大核心 2006年第6期42-44,共3页 Coal Preparation Technology
关键词 模糊神经网络 跳汰机排料 MATLAB 单片机 fuzzy neural net material discharging in jig MATLAB single-chip microprocessor
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  • 1Jyh - Shing Roger Jang. ANFIS: adaptive - network based fuzzy inference system [ J] . IEEE Transactionon Systems , Man , and Cybernetics , 1993 , 23 (3) :503 - 508.

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