Assemble Intelligent Multi Agent System Based Feed Forward Neural Network clustering

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.

Intelligent Multi-Agent Technologies for Activating Security at Kwara State Polytechnic, Ilorin

“…According to [3], telecommunication networks have become an inseparable technology; however there is a noticeable lack of powerful and dynamic management tools for resource configuration mainly due to rapid increase in transmission speeds and increasing number of users and services. Senor-based systems could be also used to automatically notify emergency centres of a given problem.…”

“…A multi-agent system (MAS) is a system composed of multiply interacting agents. Intelligent is a general term to describe some of mind activities such as logical thinking, judging, planning and learning [3] [4]. Artificial Intelligence (AI) is the study of how machines could be programmed to emulate intelligent behaviours especially that of human [5].…”