关键词: 全息图, 粒子群优化算法, MPSO-BP 网络

Abstract:

To solve the problem that hologram contains a large amount of data and performance of reproduced hologram is not ideal. A method is proposed to adjust dynamically learning factor and inertia weight for the PSO (Particle Swarm Optimization). The MPSO-BP(Modified Particle Swarm Optimizing BP Neural Network) is constructed combining the modified algorithm with BP(Back Propagation) neural network. Comparing with the BP neural network compression and PSO-BP(Particle Swarm Optimizing BP Neural Network) compression, the network has the advantages of better performance of reproducing hologram while maintaining a good compression efficiency.

Key words: particle swarm optimization ( PSO) algorithm, modified particle swarm optimizing(MPSO-BP) neural network, hologram