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Research on the effects of exercise on the improvement of happiness index among the aged based on BP neural network

Author(s): Zhenjun Xu

Recently, more and more attention has been paid to the life quality of the aged. Activities for them range from singing and playing chess to doing exercise. To some degree, the happiness index of the aged is a signal of the development of social productivity and the national living standard. As a result, experts and intellects have make comparison on the activities that influence the happiness index of the aged, and the conclusion is that exercise can contribute to the index. In this paper, we apply BP neural network to the research, and referring to scores of articles, satisfaction of life and health will be regarded as the features of the happiness index of the aged. After survey, we can the eigenvalues of the aged who do exercise and those who don’t. On this basics, we can judge from the targets.

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