Learning Systems : Stochastic Automata Models

Authors

  • M.A.L. Thathachar Indian Institute of Science, Banglore

DOI:

https://doi.org/10.14429/dsj.35.6029

Keywords:

Threshold Asymptotically, Class conditional densities, Modelling learning systems

Abstract

Stochastic automata operating in an unknown random environment have been successfully used in modelling learning systems. For such learning automata a new algorithm which estimates the environmental characteristics is presented and is used in the solution of a pattern classification problem with unknown class-conditional densities. The algorithm selects the optimal threshold asymptotically with probability one.

Author Biography

M.A.L. Thathachar, Indian Institute of Science, Banglore

Indian Institute of Science, Banglore-560 012

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Published

2014-01-24

How to Cite

Thathachar, M. (2014). Learning Systems : Stochastic Automata Models. Defence Science Journal, 35(3), 361–366. https://doi.org/10.14429/dsj.35.6029

Issue

Vol. 35 No. 3

Section

Special Issue Papers

License

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