Code Recognition and Set Selection with Neural Networks

Beschreibung

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 .

Bestandsnummer des Verkäufers 9781461278368

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Bibliografische Details

Titel

Code Recognition and Set Selection with Neural Networks

Verlag

Springer Nature B.V. Nov 2011

Veröffentlichungsdatum

2011

Sprache

Englisch

ISBN-10

1461278368

ISBN-13

9781461278368

Bindung

Taschenbuch

Zustand

Neu

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