Complex-Valued Neural Networks with Multi-Valued Neurons
Studies in computational intelligencePublished 1 January 2011
Igor Aizenberg
Citations225
SJR quartileQ4
SJR score0.19
SNIP0.29
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TL;DR
This book on the multi-valued neuron (MVN) and MVN-based neural networks covers MVN theory, learning, and applications.
Abstract
Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based ne
Keywords
Computer ScienceEngineering
Studies in computational intelligenceMulti-Valued Neuron with a Periodic Activation Function
9 Citations2011Igor Aizenberg
This Chapter considers how a single MVN may learn nonlinearly separable input/output mappings in that initial n-dimensional space where they are defined and shows how a number of non-linearlyseparable benchmark classification problems can be solved using asingle MVN with a periodic activation function.
Studies in computational intelligenceMultilayer Feedforward Neural Network Based on Multi-Valued Neurons (MLMVN)
3 Citations2011Igor Aizenberg
This Chapter considers one of the most interesting applications of MVN - its use as a basic neuron in a multilayer neural network based on multi-valued neurons (MLMVN) and derives the error backpropagation rule for MLVVN with a single hidden layer and a single output neuron.