基于遗传算法的BP神经网络在图像压缩中的应用

以神经网络和遗传算法为代表的进化算法都基于智能信息处理的理论,但是各自都存在一些缺陷.设计并实现了基于遗传算法的BP神经网络算法BP-GA,该算法将遗传算法和BP算法相结合,用基于实数编码的遗传算法优化神经网络的权值后,应用于图像压缩.实验证明,利用此混合神经网络进行图像压缩,压缩比高,图像恢复质量效果好.

Application of a BP neural network based on genetic algorithm in image compression

Artificial neural networks(ANN)and genetic algorithm(GA)are both theories for intelligent information processing,but there are limitations in these algorithms.Combining genetic algorithm with BP neural networks,an improved algorithm for image compression using a mixed BP neural network(BP-GA)is proposed.It looks on the network weights as a unitary chromosome that is operated by the three genetic operators including selection, crossover and mutation as the normal genetic algorithm.The experimental results show that the mixed algorithm can avoid premature saturation and have higher compression rate and better effect in image compression.