Abstract：With the development of computer technology and artificial intelligence, machine learning has shown its excellent performance in image, speech, natural language processing and other fields. It has quickly become one of the hottest technologies in the industry. In the meantime, to meet the needs of future air combat, new technologies in intelligent detection and intelligent fuze-warhead coordination need to be developed for fuze-warhead system. By analyzing the application of machine learning in regression and classification, this paper puts forward the basic methods and application prospects of machine learning in fuze-warhead coordination law designing, experiment data generation and target vital parts recognition. and points out the direction for the development of fuze-warhead system to intelligent and efficient damage.
