Azam Tosinia

Work place: Department of Computer Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran



Research Interests:


Author Articles
Students Classification With Adaptive Neuro Fuzzy

By Mohammad Saber Iraji Majid Aboutalebi Naghi. R. Seyedaghaee Azam Tosinia

DOI:, Pub. Date: 8 Jul. 2012

Identifying exceptional students for scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and can be used as an effective alternative system for classifying students.

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Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

By Mohammad Saber Iraji Azam Tosinia

DOI:, Pub. Date: 8 May 2012

In this paper, an efficient and accurate method for human color skin recognition in color images with different light intensity will proposed .first we transform inputted color image from RGB color space to YCBCR color space and then accurate and appropriate decision on that if it is in human color skin or not will be adopted according to YCBCR color space using fuzzy, adaptive fuzzy neural network(anfis) methods for each pixel of that image. In our proposed system adaptive fuzzy neural network(anfis) has less error and system worked more accurate and appropriative than prior methods.

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Other Articles