基于GA、BP神经网络和多元回归的集成算法研究

建立了一个考虑税收腐败和公共支出腐败的经济增长模型，从理论上探讨财政腐败行为及其影响.主要结论归纳：第一, 财政腐败降低私人资本的回报率，使厂商的生产力下降，就整体而言阻碍了经济增长.第二，最优税率可能大于或小于Barro的最优税率，取决于征税效率和寻租引发的行政成本.第三，两种类型的公共支出隐含着不同程度的腐败机会，以及对官员行为产生的不同“激励”作用，从而扭曲公共支出结构效率.第四，增强制度约束力对遏制财政腐败至关重要.

Integration Algorithm Based on Genetic Algorithm, BP Neural Network and Multiple Regressions

Genetic Algorithm, BP neural network and multiple regression are used widely in data mining algorithms, each of them have their benefits. Simultaneously, they have some inevitable flaws. On the basis of previous three, I made some improvements in the structure of them. First, I propose a hybrid BP network based on the integration of BP Network and multiple regression models. Then I used the hybrid genetic algorithm to optimize the initial weights of hybrid BP network. In that way, I effectively avoid the inevitable flaws when they alone. Validation results show, in convergence speed accuracy and generalization ability, the model of new methods is better than Genetic Algorithm, BP neural network and multiple regressions. In addition, the model of new methods has significant improvements compared with ELM, SVRKM and SVM.