J. Ghosh and A. Nag. An Overview of Radial Basis Function Networks. Radial Basis Function Neural Network Theory and Applications, Physica-Verlag, 2000. Home/Search Document Details and Download
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....shown (Figure 2.1) The diagnosis system compares three classification methods using a radial basis function neural network. This is a three level feed forward neural network, where each unit in the central layer represents a radial basis function, one whose output is symmetrical about some centre [17]. The classifiers are based on grey level histogram moments, the spatial grey level dependence matrix features and the descriptors which are extracted using independent component analysis (ICA) ICA is a method of extracting individual signals from a mixture of signals, and is based on the ....
Ghosh, J., Nag, A. An Overview of Radial Basis Function Networks. Radial Basis Function Neural Network Theory and Applications, R. J. Howlerr and L. C. Jain (Eds), Physica-Verlag., 2000.
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J. Ghosh and A. Nag. An Overview of Radial Basis Function Networks. Radial Basis Function Neural Network Theory and Applications, Physica-Verlag, 2000.
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GHOSH J., NAG A.: An overview of radial basis function networks. In Radial Basis Function Networks 2, Howlett R. J., Jain L. C., (Eds.). Physica-Verlag, 2001, pp. 1--36.
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