Code Recognition and Set Selection with Neural Networks

Language: English

Published by Springer Nature B.V. Nov 2011, 2011

1461278368 / 9781461278368

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Neuware - In mathematics there are limits, speed limits of a sort, on how many computational steps are required to solve certain problems. The theory of computational complexity deals with such limits, in particular whether solving an n-dimensional version of a particular problem can be accomplished with, say, 2 n n steps or will inevitably require 2 steps. Such a bound, together with a physical limit on computational speed in a machine, could be used to establish a speed limit for a particular problem. But there is nothing in the theory of computational complexity which precludes the possibility of constructing analog devices that solve such problems faster. It is a general goal of neural network researchers to circumvent the inherent limits of serial computation. As an example of an n-dimensional problem, one might wish to order n distinct numbers between 0 and 1. One could simply write all n! ways to list the numbers and test each list for the increasing property. There are much more efficient ways to solve this problem; in fact, the number of steps required by the best sorting algorithm applied to this problem is proportional to n In n .…

Seller Inventory # 9781461278368

Title
Code Recognition and Set Selection with Neural Networks
Author
C. Jeffries
Publisher
Springer Nature B.V. Nov 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461278368
ISBN 13
9781461278368
Item weight
259 grams
Dimensions
234x156x10 mm

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