Research on Chinese Citizens´ Happiness Based on B-P Neural Networks

The Chinese citizen´s happiness became a hot issue in recent years, however, few of the scholars researched this issue from the angle of a quality method. Based on this phenomenon, we firstly analyzed the significance of evaluating the Chinese Citizens´ happiness, then, we intended to find out the most important elements which may influence our research objects, according to the results of analysis, we selected a series representative indicators and established the evaluation system. The B-P neural networks (BPNN) we applied in this paper is an advanced method of evaluating, we described the mechanism of the BPNN and then tested the evaluation system by using the practical data. The results proved that the evaluation system is an effective way of appraisal the citizens´ happiness, it also showed us what kind of indicators would bring us happiness mostly, therefore, we believed this paper may be a guidance of constructing the harmonious society in China.