【摘要】 在非线性动力学混沌与分岔理论的基础上引入粒子群算法,对如何选择最优参数配比以保证金融系统的平稳运行及最大程度的降低系统总风险值进行探讨.结果表明,所选取的理论与研究方法能够有效寻找最优参数配比,并对相关机构进行调控具有一定的理论指导意义.更多还原

【Abstract】 Maintaining stable operation of financial system and reducing financial risk is a focus studied by economical researchers.Based on the nonlinear chaos and bifurcation theory,this paper introduces the particle swarm optimization and discuss how to choose the optimal parameter ratio to ensure the smooth operation of the financial system and the maximum reduction of the total risk value of the system.The results show that the theory and methods selected in this paper can effectively find the optimal parameter ratio and have certain theoretical significance for the regulation of related institutions.更多还原