Training of phase-based neurons

Complex-Valued Neural Networks are extensions of the classical Neural Networks. They have complex-valued weights, accept complex inputs and have more computational power than the classical ones. We discuss in this paper the training for Phase-Based Neurons, neural processing elements similar to Univ...

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Main Authors: Pavaloiu, I-B, Vasile, A., Cristea, P. D.
Format: Conference Proceeding
Language:English
Subjects:
Bioinformatics
Biological neural networks
Complex-Valued Neural Networks
Genomics
Indexes
Neurons
Phase-Based Neuron
Signal processing
Training
Universal Binary Neuron
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creator Pavaloiu, I-B
Vasile, A.
Cristea, P. D.
description Complex-Valued Neural Networks are extensions of the classical Neural Networks. They have complex-valued weights, accept complex inputs and have more computational power than the classical ones. We discuss in this paper the training for Phase-Based Neurons, neural processing elements similar to Universal Binary Neurons, that uses as weights and bias complex numbers with unit magnitude, the phase being the only tunable parameter.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Bioinformatics
Biological neural networks
Complex-Valued Neural Networks
Genomics
Indexes
Neurons
Phase-Based Neuron
Signal processing
Training
Universal Binary Neuron
title Training of phase-based neurons
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