Learning Algorithms Theory and Applications - S. Lakshmivarahan - Grāmatas - Springer-Verlag New York Inc. - 9780387906409 - 1981. gada 2. novembris
Ja vāks un nosaukums nesakrīt, pareizs ir nosaukums

Learning Algorithms Theory and Applications Softcover Reprint of the Original 1st Ed. 1981 edition

Cena
€ 53,99

Pasūtīts no attālās noliktavas

Paredzamā piegāde . gada 15. - 23. jūl.
Pievienot savam iMusic vēlmju sarakstam

Not rated yet

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.


280 pages, biography

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 1981. gada 2. novembris
ISBN13 9780387906409
Izdevēji Springer-Verlag New York Inc.
Lapas 280
Izmēri 155 × 235 × 16 mm   ·   421 g
Valoda Angļu  

Mere med samme udgiver