Effective Partitioning of Input Domains for ALM Algorithm
Publish Year: 1391
Type: Conference paper
Language: English
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Document National Code:
IPRIA01_147
Index date: 2 August 2014
Effective Partitioning of Input Domains for ALM Algorithm abstract
This paper presents a new and simple algorithm for partitioning the input domain for implementation of Active Learning Method (ALM) algorithm. ALM is a pattern-basedalgorithm for soft computing which uses the Ink Drop Spread (IDS) algorithm as its main engine for feature extraction. In thispaper a simple algorithm is introduced with a few computation cost. In order to evaluate the performance of the proposed algorithm, it is applied to two applications, system modeling andpattern recognition. Simulation results show the effectiveness of our algorithm in specifying the appropriate points for dividing the inputs domains
Effective Partitioning of Input Domains for ALM Algorithm Keywords:
Active learning method (ALM) , fuzzy inference algorithm , ink drop spread (IDS) , memristor-crossbar
Effective Partitioning of Input Domains for ALM Algorithm authors
Iman Esmaili Paeen Afrakoti
Ph.D student at the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
Aboozar Ghaffari
Ph.D student at the Department of Electrical Engineering,Sharif University of Technology, Tehran, Iran
Saeed Bagherishouraki
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
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