Journals Proceedings

Abstract

One of the greatest potential of applying intelligent multi agent systems is the support of machine learning in order to reflect the whole complexity of the real and virtual world. However, a critical deficiency is a gap between two applicable streams of intelligent multi agent technology and learning models. In order to solve this problem, we developed a framework of intelligent multi agent based on the efficient feed-forward neural network clustering method. A feed-forward neural network is a software version of the brain and a popular tool for statistical decision making. The framework is applicable to different domains successfully and for the potential case study, the clinical domain and the breast cancer database from the University of Malaya Medical Center is considered to predict the survival time