粒子群优化算法及其在神经网络中的应用

Particle swarm optimization algorithm and its application in neural networks

对基本粒子群优化PSO算法进行改进,并将改进粒子群优化算法与误差反向传播BP算法结合。与传统BP网络诊断结果相比,本方法具有运算效率高、收敛速度快的特点,是一种有效可靠的新型故障诊断技术。

The fundamental particle swarm optimization PSO algorithm is improved and the particle swarm optimization algorithm is combined with error back-propagation BP algorthm. With the traditional BP network diagnosis this method is a novel diagnosis with fast convergence speed and higher convergence precision.