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fuzzy-combinations
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Reinforcement learning based on active learning method
, Article Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 21 December 2008 through 22 December 2008, Shanghai ; Volume 2 , 2008 , Pages 598-602 ; 9780769534978 (ISBN) ; Bagheri Shouraki, S ; Khasteh, H ; Kiaei, A. A ; Sharif University of Technology
2008
Abstract
In this paper, a new reinforcement learning approach is proposed which is based on a powerful concept named Active Learning Method (ALM) in modeling. ALM expresses any multi-input-single-output system as a fuzzy combination of some single-input-singleoutput systems. The proposed method is an actor-critic system similar to Generalized Approximate Reasoning based Intelligent Control (GARIC) structure to adapt the ALM by delayed reinforcement signals. Our system uses Temporal Difference (TD) learning to model the behavior of useful actions of a control system. The goodness of an action is modeled on Reward-Penalty-Plane. IDS planes will be updated according to this plane. It is shown that the...
A novel pipeline architecture of replacing ink drop spread
, Article Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010, 15 December 2010 through 17 December 2010, Kitakyushu ; 2010 , Pages 127-133 ; 9781424473762 (ISBN) ; Bagheri Shouraki, S ; Tabandeh, M ; Mousavi, H. R ; Sharif University of Technology
2010
Abstract
Human Brain is one of the most wonderful and complex systems which is designed for ever; A huge complex network composed of neurons as tiny biological and chemical processors which are distributed and work together as a super parallel system to do control and vital activities of human body. Brain learning simulation and hardware implementation is one of the most interesting research areas in order to make artificial brain. One of the researches in this area is Active Learning Method in brief ALM. ALM is an adaptive recursive fuzzy learning algorithm based on brain functionality and specification which models a complex Multi Input Multi Output System as a fuzzy combination of Single Input...