Local-Global Neural Networks for Interpolation
In this paper a new connectionist model is proposed. The proposed architecture is trained by a scheme based on partition of the function domain, approximating the generator function by a set of very simple supporting functions. This method has an interesting ability concerning interpolation. A synthetic experiment and areal data missing data application are presented.
KeywordsMembership Function Simple Function Supporting Function Electricity Load Function Domain
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