摘要
针对神经网络在搜索寻优过程中存在的收敛速度慢、易陷入局部极小值这一问题,将混沌理论和神经网络有机结合,构造混沌学习算法,建立了基于混沌神经网络的综合风险评价模型,该模型充分利用混沌运动的遍历特性,加快了训练速度,使其收敛于全局最优解。将此模型应用于项目投资风险综合评价的结果表明,该模型具有一定可操作性和实用性。
Considering the problems of slow convergence speed and local minimum existing in the BP algorithm, chaos theory in combining with artificial neural network is used to structure chaos learning algorithm and to establish a new comprehensive risk evaluation model based on Chaos Neural Network. This model can make its solution escape from the local utmost points and approach global optimum.The results obtained from the application of this method to the compre- hensive evaluation of project investment comprehensive risks indicate that this method is feasible and effective.
出处
《科学与管理》
2009年第3X期54-56,共3页
Science and Management
关键词
混沌
神经网络
项目投资
综合风险
价
chaos
neural network
project investment
comprehensive risk
evaluation
