Derivation of Quantum Associative Network from Hopfield-Like ANN and HNeT

Derivation of Quantum Associative Network from Hopfield-Like ANN and HNeT

DOI: 10.4018/978-1-61520-785-5.ch008
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Chapter Preview

Top

8.2 Associative Neural Networks

From now on, the terms like neural, neuron, synaptic connections, memory, association, learning, recognition, etc., will always be used in the formal sense of the present artificial neural net (ANN) theory.

Discrete model. In our starting Hopfield-like neural net model, the equation for change of neuronal activities (right in the whole state-vector 978-1-61520-785-5.ch008.m01 and weight-matrix J, left in their components)978-1-61520-785-5.ch008.m02or 978-1-61520-785-5.ch008.m03(8.1) is coupled with the Hebb equation for synaptic connections (again, left are components of the right expression)

978-1-61520-785-5.ch008.m04or 978-1-61520-785-5.ch008.m05(8.2)

Complete Chapter List

Search this Book:
Reset