混合神经网络

• In the conclusion of paper , he lists several disadvantages of neural network techniques . combining the self - organizing feature map theory ( sofm ) and principle component analysis theory ( pca ) , the author proposes an image compressing algorithm based on pca / sofm hybrid neural network , which has the advantages of both pca and sofm
  再次，作者依据自组织特征映射( sofm )理论和主元分析( pca )理论，提出了一种基于pca sofm混合神经网络的图象压缩编码算法，并对sofm网络学习参数的优化进行了探讨。