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Generalization of Artificial Neuron

Authors
Publisher
Elsevier B.V.
Publication Date
Keywords
  • Applied Mathematics
  • Control And Optimization
  • Modelling And Simulation
  • Applied_Mathematics/0303012
Disciplines
  • Computer Science
  • Mathematics

Abstract

A generalization of artificial neuron by substitution of neural convolution to arbitrary multi-parametric function. Weights of synapses have been changed to the set of parameters and a learning algorithm has been modified as well. Even one single “smart neuron” is sufficient for finding complex multivariate dependencies without thinking about topology of neural network

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