True Parallel Processing in Artificial Neural Networks

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Date:

22-10-2007
Vendor:

Emerald
Registration:

Required
Type:

Whitepapers
File size:

130.0 KB
Format:

PDF, Acrobat Reader
Pages:

6

Publisher’s description

The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive contributions to technology after the back-propagation algorithm was proposed in 1986. In this note an alternative algorithm to the gradient descent used in back-propagation is proposed. This algorithm is based on the discrete central difference. This procedure, as opposed to the back-propagation algorithm, offers the possibility of true parallel computation.

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True Parallel Processing in Artificial Neural Networks