Development of INPLANS: An analysis on Students’ Performance Using Neuro-Fuzzy

This paper presents a simulation of Neuro-Fuzzy application for analysing studentspsila performance based on their CPA and GPA. The analysis is an extension of our previous study, which was called an analysis on studentpsilas performance using fuzzy systems. The main function of this analysis is to support the development of intelligent planning system (INPLANS) using fuzzy systems, neural networks, and genetic algorithms which will be used by the academic advisory domain in educational institutions by evaluating and predicting studentspsila performance as well as comparing the results with the previous study. The neuro-fuzzy model is connectionist feed-forward architecture with five layers of neurons and four connections. The system has been tested for 26 cases of studentspsila results. The results show that the studentspsila performances have improved significantly compared to the prediction of the same case using fuzzy systems.