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Research on optimisation and application of improved fuzzy neural network control algorithm

机译:改进的模糊神经网络控制算法的优化与应用研究

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摘要

Conventional neural fuzzy design techniques address only the parameter identification, and the structure of network is established according to the knowledge of experience. Therefore, a kind of self-organising fuzzy neural network (FNN) is proposed based on neural network and the advantages of FNN. First, the architecture of this proposed network is investigated, then the parameters of this new scheme are optimised by intelligent computing. At last, two experiments are done to test the performance of this new scheme. Through the analysis of experiment result, it can be seen that the proposed scheme is better than commonly used network.
机译:常规的神经模糊设计技术仅解决参数识别问题,并根据经验知识建立网络结构。因此,基于神经网络及其优点,提出了一种自组织模糊神经网络。首先,研究该提议网络的体系结构,然后通过智能计算优化该新方案的参数。最后,进行了两个实验以测试该新方案的性能。通过对实验结果的分析,可以看出该方案优于常用网络。

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