PERFORMANCE EVALUATION USING ARTIFICIAL NEURAL NETWORK: A DEEP LEARNING APPROACH

Abstract

Artificial Intelligence plays a vital role in every aspect of human life. Deep Neural Network is an important part of Artificial Network. Now paper can also evaluate the performance of a student by using an Artificial Neural Network. In this study authors discuss how a Deep Learning model is used to evaluate student and faculty performance. This model has multiple layers between input and output; every layer has some weight. For evaluation, there is a set of inputs (x0, x1, x2, and x3); each input is multiplied by the weight of each layer. The Deep Learning Model of the evaluation system performs the correct mathematical manipulation to turn the input into the output. In this paper, we tried to find the appropriate function for evaluation. Several factors tested here to evaluate the performance of a student were outlined. Result of the model shows that the Deep Learning model can correctly evaluate the correctly 80% performance students and faculty.