Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes

Jili Tao; Ning Wang; Xuejun Wang

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Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes

机译：基于遗传算法的化工过程递归模糊神经网络建模

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A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFNN) is constructed in terms of Takagi-Sugeno fuzzy model. The consequent part

机译：提出了一种基于遗传算法的动态非线性化学过程递归模糊神经网络建模方法。根据Takagi-Sugeno模糊模型构造了动态递归模糊神经网络（RFNN）。结果部分

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《Journal of Universal Computer Science》 |2007年第9期|共12页
作者
Jili Tao; Ning Wang; Xuejun Wang;
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中图分类计算技术、计算机技术;
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Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes

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