Effective Partitioning of Input Domains for ALM Algorithm
عنوان مقاله: Effective Partitioning of Input Domains for ALM Algorithm
شناسه ملی مقاله: IPRIA01_147
منتشر شده در اولین کنفرانس بازشناسی الگو و پردازش تصویر ایران در سال 1391
شناسه ملی مقاله: IPRIA01_147
منتشر شده در اولین کنفرانس بازشناسی الگو و پردازش تصویر ایران در سال 1391
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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
کلمات کلیدی: Active learning method (ALM), fuzzy inference algorithm, ink drop spread (IDS), memristor-crossbar
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/276038/