This paper presents the intelligent system to investigate the influence of entry qualification, gender and entry results towards the student performance in university level. Entry qualifications are very important for the educational institution or educational providers to ensure quality graduate been produced. Total of 66 students were randomly selected in the faculty of mechanical engineering, Universiti Malaysia Pahang. The students are coming from foundation program, higher certificate of Malaysian Education (STPM) and diploma certificate. STPM is form six examinations in secondary school level. Radial Basis Function Network (RBFN) method was used to develop and predict the student’s performance. RBFN is an important tool to study the different type of variables for student performance. The obtained results show that the entry results plays important role however the gender plays no significant. Good entry results student normally maintains their performance throughout the study and becomes an excellent graduate
