Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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CSTSDE5F3OA
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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Every year a large scale of students in Bangladesh enrol in different Universities in order to pursue higher studies. With the aim to build up a prosperous career these students begin their academic phase at the University with great expectation and enthusiasm. However among all these enthusiastic and hopeful bright students many seem to become successful in their academic career and found to pursue the higher education beyond the undergraduate level. The main purpose of this research is to develop a dynamic academic success prediction model for universities, institutes and colleges. In this work, we first apply chi square test to separate factors such as gender, financial condition and dropping year to classify the successful from unsuccessful students. The main purpose of applying it is feature selection to data. Degree of freedom is used to P-value (Probability value) for best predicators of dependent variable. Then we have classify the data using the latest data mining technique Support Vector Machines(SVM).SVM helped the data set to be properly design and manipulated. After being processed data, we used the MATH LAB for depiction of resultant data into figure. After being separation of factors we have had examined by using data mining techniques Classification and Regression Tree (CART) and Bayes theorem using knowledge base. Proposition logic is used for designing knowledge base. Bayes theorem will perform the prediction by collecting the information from knowledge Base. Here we have considered most important factors to classify the successful students over unsuccessful students are gender, financial condition and dropping year. We also consider the sociodemographic variables such as age, gender, ethnicity, education, work status, and disability and study environment that may inflounce persistence or academic success of students at university level. We have collected real data from Chittagong University Bangladesh from numerous students. Finally, by mining the data, the most important factors for student success and a profile of the typical successful and unsuccessful students are identified.
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