Hybrid Case Based Reasoning and Neural Networks Approach for Blowing Control of Basic Oxygen Furnace

전로 취련제어를 위한 신경회로망 및 사례기반추론의 통합 접근 방법

A hybrid artificial intelligence approach based on combining case based reasoning and neural networks is presented. The approach is designed to allow for solving blowing control of BOF(basic oxygen furnace), example of which lie at the core of steelmaking process control systems application in the steel industry. According to this hybrid approach, the system, when faced with a new problem, first retrieves similar cases and neural network is used to solve the problem. Experimental Results indicate that combining case based reasoning and neural network offers an efficient approach to solving control and prediction problem