【摘 要】
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Dear editor,rnNeural networks (NNs) and fuzzy systems are commonly used computational intelligence techniques, each with their own merits in terms of applicatio
【机 构】
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School of Applied Mathematics, Beijing Normal University, Zhuhai 519087, China;Faculty of Science an
论文部分内容阅读
Dear editor,rnNeural networks (NNs) and fuzzy systems are commonly used computational intelligence techniques, each with their own merits in terms of applications.The integration of NNs and fuzzy systems, which leads to a hybrid framework known as neuro-fuzzy systems, inherits the useful properties of its constituents: the learning power of an NN and the knowledge representation of a fuzzy inference system,which makes their combination a powerful tool for machine learning.Numerous structures and models of neurofuzzy systems have been proposed and applied to real-world problems [1-5].
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