Diagnosis windows problems based on hybrid intelligence systems

This paper describes the artificial intelligence technologies by integrating radial basis function networks with expert systems to construct a robust hybrid system. the purpose of building the hybrid system is to give recommendations to repair the operating system (windows) problems and troubleshoot the problems that can be repaired. the neural network has unique characteristics which it can complete the uncompleted data,the expert system can't deal with data that is incomplete,but using the neural network individually has some disadvantages which it can't give explanations and recommendations to the problems. the expert system has the ability to explain and give recommendations by using the rules and the human expert in some conditions. therefore,we have combined the two technologies. the paper will explain the integration methods between the two technologies and which method is suitable to be used in the proposed hybrid system. © school of engineering,taylor's university.