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Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg

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Published by Springer Berlin Heidelberg in Berlin, Heidelberg .
Written in English

Subjects:

  • Engineering,
  • Artificial intelligence

Book details:

Edition Notes

Statementby Igor Aizenberg
SeriesStudies in Computational Intelligence -- 353
ContributionsSpringerLink (Online service)
The Physical Object
Format[electronic resource] /
ID Numbers
Open LibraryOL25545953M
ISBN 109783642203527, 9783642203534

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Complex-valued neural networks are not a new concept, however, the use of real-valued models has often been favoured over complex-valued models due to difficulties in training and : Igor Aizenberg. Complex-valued neural networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book on the multi-valued neuron (MVN) and MVN-based neural networks covers MVN theory, learning, and applications. Any classical monograph/text book on neural networks claims that to learn the XOR function a network from at least three neurons is needed. This is true for the real-valued neurons and real-valued neural networks. However, this is not true for the complex-valued neurons!!! A File Size: 8MB. from book Complex-Valued Neural Networks with Multi-Valued Neurons. Complex-Valued Neural Networks II. Multi-Valued Neurons: Theory and Applications. Article January Author: Igor Aizenberg.

  Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications. Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. Get this from a library! Complex-valued neural networks with multi-valued neurons. [Igor N Aizenberg] -- 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 . springer, Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Multilayer Feedforward Neural Network with Multi-Valued Neurons for Brain-Computer Interfacing Complex-Valued B-Spline Neural Networks for Modeling and Inverse of Wiener Systems Quaternionic Fuzzy Neural Network for View-Invariant Color Face Image Recognition.

Aizenberg I. () Why We Need Complex-Valued Neural Networks?. In: Complex-Valued Neural Networks with Multi-Valued Neurons. Studies in Computational Intelligence, vol Cited by: 5. Find many great new & used options and get the best deals for Studies in Computational Intelligence Ser.: Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg (Trade Paper) at the best online prices at eBay! Free shipping for many products! Complex-Valued Neural Networks with Multi-Valued Neurons. Igor Aizenberg, Springer, June Springer Book Series "Studies in Computational Intelligence", vol. Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. Meta-cognitive Neural Networks Meta-cognition in Complex-valued Neural Networks Problem Definition Meta-cognitive Fully Complex-valued Radial Basis Function Network Complex-Valued Self-Regulatory Resource Allocation Network Issues in Mc-FCRBF and CSRAN