Neural network analysis of tqm parameters from student's perspective: An empirical evidence

A well establish management philosophy for improving the overall process is Total Quality Management (TQM). Artificial Neural Network which is inspired by biological system (human brain) has emerged as powerful tool for pattern recognition and pattern classification. There are numerous articles in the literature where TQM parameters are analysed using traditional statistical methods but the analysis of TQM parameters using Neural Networks (NNs) models are very few. In this research paper, we use learning techniques for computation of quality parameters in higher education. The main aim of the research paper is to identify the variables which are most important in higher education. For identifying those variables, a questionnaire is designed which is filled by more than100 students of higher education such as engineering and management. The questionnaire has questions based on nine independent parameters and sub parameters. These nine parameters need to be classified on the scale 1(Poor) to 4 (Excellent). These nine independent variables considered to be significant contributor towards the prediction of the dependent variable (Grade). The most significant parameters are identified on which the grade of the institution is dependent.