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Extending the functional equivalence of radial basis function networks and fuzzy inference systems

机译:扩展径向基函数网络和模糊推理系统的功能对等

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摘要

We establish the functional equivalence of a generalized class of Gaussian radial basis function (RBFs) networks and the full Takagi-Sugeno model (1983) of fuzzy inference. This generalizes an existing result which applies to the standard Gaussian RBF network and a restricted form of the Takagi-Sugeno fuzzy system. The more general framework allows the removal of some of the restrictive conditions of the previous result.
机译:我们建立了广义高斯径向基函数(RBFs)网络和模糊推理的完整Takagi-Sugeno模型(1983)的泛函等价性。这概括了适用于标准高斯RBF网络和Takagi-Sugeno模糊系统的受限形式的现有结果。更通用的框架可以消除先前结果的某些限制性条件。

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