Interpretation of Beijing Model Based on Fuzzy Genetic Neural Networks
会议名称：《The 3rd International Conference of Bionic Engineering(ICBE’10)》
会议日期：2010年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Beijing model Bionic Chaos Nonlinearity Fuzzy algorithm Genetic algorithm neural network
摘 要：The global economic crisis triggers some social problems. Beijing model shows strong robustness facing the impact from economic crisis. It is more intuitional and scientific to read social formation using the natural sciences and engineering. The development of human being is similar to the evolution of human being, so Beijing model is explained by using bionics which shows that there is a complex social change and human evolution occurs. The social development forms a stable neural network model. The number of Input layer neurons of neural network was decided by the number of the factors that determine the direction of social development. The number of output neurons are decided by the number of the social properties that are made up of society, while the middle layer neurons mainly dispose information that come from input layer. Use of genetic algorithm （GA） adjusts the factors that affect the social development in order to attain higher heredity of social neural networks and use of fuzzy mathematics transfers qualitative description to quantitative analysis. That Beijing model was confirmed as mainly ascribable to action competence of the leader and spirit from our ancestor. The social genetic algorithm neural network adopts bionic technology to read Beijing model, for example fuzzy algorithm, genetic algorithm and neural network. At the same time we also analyze the cause of robustness and the method to solidify Beijing model.