Learning Algorithms Theory and Applications

Name: Learning Algorithms Theory and Applications
Brand: Springer, Berlin
SKU: 9780387906409
Price: 19325 HUF
Availability: InStock

Theory and Applications

Szerző: S. Lakshmivarahan

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

19 325 Ft

Learning constitutes one of the most important phase of the whole psychological processes and it is...

Információk a könyvről

Szerző

S. Lakshmivarahan

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

1981

oldal

280

EAN

9780387906409

ISBN

0387906401

Enbook ID

02170936

Kiadó

Springer, Berlin

Súly

462

Méretek

155 x 231 x 15

Teljes leírás

Learning constitutes one of the most important phase of the whole psychological processes and it is essential in many ways for the occurrence of necessary changes in the behavior of adjusting organisms. In a broad sense influence of prior behavior and its consequence upon subsequent behavior is usually accepted as a definition of learning. Till recently learning was regarded as the prerogative of living beings. But in the past few decades there have been attempts to construct learning machines or systems with considerable success. This book deals with a powerful class of learning algorithms that have been developed over the past two decades in the context of learning systems modelled by finite state probabilistic automaton. These algorithms are very simple iterative schemes. Mathematically these algorithms define two distinct classes of Markov processes with unit simplex (of suitable dimension) as its state space. The basic problem of learning is viewed as one of finding conditions on the algorithm such that the associated Markov process has prespecified asymptotic behavior. As a prerequisite a first course in analysis and stochastic processes would be an adequate preparation to pursue the development in various chapters.

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Learning Algorithms Theory and Applications

Theory and Applications

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