摘要
传统的用于边坡稳定性分析的方法较多,但计算过程复杂,计算量大。采用粒子群优化(PSO)算法优化神经网络的连接权值和阈值,可以克服存在的缺陷,减少迭代次数,具有良好的泛化性能,在边坡稳定性评价上具有一定的应用价值。
The traditional method of slope stability analysis is complex in calculation and large in computing capacity. The application of Particle Swarm Optimization （PSO） to optimize the connecting weight and threshold of neural network can avoid the weaknesses and decrease the iterative times, which has a good generalization capacity and is of certain practical value in slope stability evaluation.
出处
《温州职业技术学院学报》
2009年第2期49-51,共3页
Journal of Wenzhou Polytechnic
