Prediction and Analysis of Air Incidents and Accidents Using Case-Based Reasoning

摘要: Prediction of upcoming events has very critical role in many disciplines life. Air accidents and incidents are one such events. There existing learning methods literature. Case-based reasoning (CBR) is a lazy technique artificial intelligence which exploits past experience efficiently. It works well when precise information not available well-structured. In this paper, we propose to apply CBR for prediction air incidents. the proposed framework, describe retrieval strategies, solution algorithms revision mechanism. We have implemented idea data accidents, crashes. The results show that up 87% accuracy can be achieved using framework.