Thathachar, MAL and Arvind, MT (1998) Parallel Algorithms for Modules of Learning Automata. In: IEEE Transactions on Systems, Man and Cybernetics- Part B: Cybernetics, 28 (1). pp. 24-33.
Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure suitable for parallelizing a large class of sequential learning algorithms on a shared memory system is proposed. Results are derived to shea the quantitative improvements in speed obtainable using parallelization, The efficacy of the procedure is demonstrated by simulation studies on algorithms for common payoff games, parametrized learning automata and pattern classification problems with noisy classification of training samples.
|Item Type:||Journal Article|
|Additional Information:||©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||25 Aug 2008|
|Last Modified:||19 Sep 2010 04:15|
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