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Multi-layer radial basis function networks. An extension to the radial basis function

机译:多层径向基函数网络。径向基函数的扩展

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This paper presents the initial research carried out into a new neural network called the multilayer radial basis function network (MRBF). The network extends the radial basis function (RBF) in a similar way to that in which the multilayer perceptron extends the perceptron. It is hoped that by connecting RBFs together in a layered fashion, an equivalent increase in ability can be gained, as is gained from using MLPs instead of single perceptrons. The results of a practical comparison between individual RBFs and MRBF's are also given.
机译:本文介绍了对称为多层径向基函数网络(MRBF)的新神经网络进行的初步研究。该网络以类似于多层感知器扩展感知器的方式扩展了径向基函数(RBF)。希望通过将RBF以分层的方式连接在一起,可以获得与使用MLP而不是单个感知器所获得的等效的功能增强。还给出了单个RBF和MRBF之间的实际比较结果。

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