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High Performance Programming for Soft Computing
book

High Performance Programming for Soft Computing

by Oscar Montiel Ross, Roberto Sepulveda
February 2014
Intermediate to advanced content levelIntermediate to advanced
376 pages
11h 49m
English
CRC Press
Content preview from High Performance Programming for Soft Computing
26 High Performance Programming for Soft Computing
1.6.4 The Back-propagation Algorithm
The back-propagation algorithm considers two cases:
Case 1: The artifi cial neuron j is an output node. Here the error is calculated
using Eq. (1.6.3).
Case 2: The artifi cial neuron j is a hidden node. At this node we cannot
know the desired response, so the back-propagation algorithm ,
using error signals, propagate the error through the nodes making
possible to estimate the error named
F
, at each hidden node; in short,
the formula deduction of the error at the hidden nodes is given by
(1.6.7), where the index k identifi es neuron k, which is connected
to the ...
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Publisher Resources

ISBN: 9781466586017