ICTACT Journal on Soft Computing

B. Sankarasubramanian ¹, M. Rathinakumar ², B. Balakrishnan ¹, R. N. Bharathwajan ¹

Affiliations
1 Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN
2 Department of Electrical and Electronics Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN

Abstract

Indian University Admission is a complex phenomenon encompassing various factors both tangible and intangible. Apart from Merit - Caste, Community and Religion play a crucial role in getting admission to various courses offered by Universities. The Single Window Admission System followed by almost all Government Universities (for example: Anna University, Chennai) is, so far, the best practice to offer Admission sought by student community. But, still, in Private Universities, the Admission process is done manually since number of students seeking a course is smaller in size. This manual process is fraught with some drawbacks: such as slower in time, cumbersome and costlier, bias by the Admission Officer, manual errors while processing, due to influence exercised by powerful people qualified students not getting their course of choice and unqualified students getting into their course of willingness and etc. This paper addresses these problems via neural network architecture based Admission system which will eliminate all the pitfalls and drawbacks inherent in the current system and offers a smooth, clearer, easier and cost effective way of student admission system implementation in Indian Universities.

Keywords

Artificial Neural Network, Back Propagation Neural Network, Indian University Admission System, Automated Admission Process, Basic Artificial Neuron.

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