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By Aimin Yang, Jingguo Qu, Xilong Qu

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The basic theory of neural network Artificial Neural Network (ANN), consists lots of Neural processing unit, which widely connected to the complex Network. It is the simplification, abstract and simulation of human cranial nerve. It has the characters of massively parallel simulation processing, continuous time dynamics and global network, information storage reflected in the distribution of connection between neurons. Neural network has a strong adaptive and learning ability, robustness and fault tolerant ability, thus can replace the traditional algorithm, and make complex signal processing more close to the human thinking activity.

Because of all the technological route of mathematical tools for the domain expert knowledge approximation in actual performance is not strong, the problem of limited domain erperts knowledge used to solve various cases of data, leads the prediction accuracy of expert knowledge in handling a large incomplete data to be low. In order to solve the problems mentioned above, we apply the method of fuzzy inference to the research of fitness monitoring CAD system, and achieve a monitoring result approximating to the domain expert knowledge with better performance.

Development of RBF-NN-Based Physique Monitoring CAD System The determination of physique monitoring index. Through the methods of literature study, expert interview, questionnaire investigation, expert demonstration, the youth, middle-aged and elderly people physique synthetical evaluation of screening and each index weight ratio determination. Comprehensive evaluation standard according to age and gender grouping, respectively formulate six categories (old man, elderly woman, a middle-aged man, a middle-aged woman, young man, young woman) evaluation criteria.

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