Classification, Association and Pattern Completion Using Neural Similarity Based Methods

@inproceedings{Duch2000ClassificationAA,
  title={Classification, Association and Pattern Completion Using Neural Similarity Based Methods},
  author={Włodzisław Duch and Rafal Adamczak and Geerd H. F. Diercksen},
  year={2000}
}
A framework for Similarity-Based Methods (SBMs) includes many classification models as special cases: neural network of the Radial Basis Function Networks type, Feature Space Mapping neurofuzzy networks based on separable transfer functions, Learning Vector Quantization, variants of the k nearest neighbor methods and several new models that may be presented in a network form. Multilayer Perceptrons (MLPs) use scalar products to compute weighted activation of neurons, combining soft hyperplanes… CONTINUE READING

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