Research On Information Fusion And Its Theory Of Human Surface

In recent years, because of acceleration of rhythm and the raising of living standard, the expectation on the Medical Protection has been higher. The healthy condition by monitoring body surface information becomes becomes one of the important way in biological medical field research. Data fusion is a kind of burgeoning information processing technology. Though it develops quickly in recent years, it is still a immature field, and has a lot of problem need to solve.At first elaborate the definition, structural model, application and principle of data fusion in the paper, introduceing data fusion in some algorithms, such as D-S evidence theory and fuzzy nerve network etc.. Based on the mind of complementary alternation, fuzzy theory, nerve network and D-S evidence theory are lead into information fusion together, and constructed the body surface information fusion model based on fuzzy nerve network and D-S evidence theory. The major research content of paper is as follows:(1) Puting forward a new definite method of the support matrix in sensor data, the superiority of this method has been verified by date.(2) Because of the shortage of D-S evidence theory, offered a improved method of the optimization method of evidence and combinatory formula.(3) Puting forward the ball classfication method that based on the fuzzy sample of fuzzy theory and support vector machine.(4) By combining the fuzzy nerve network and D-S evidence theoretical method, dissertted the proposes of human surface information fusion based on the fuzzy nerve network and D-S evidence theoretical.Fuzzy nerve network and D-S evidence theoretical are both the methods of dealing with the uncertain and indistinction information, It's desirable to deal with the intricate information of human surface by combining them, and certified by the concrete data.