首页> 外文会议>2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)论文集 >IMAGE COMPRESSION USING MULTILAYER NEURAL NETWORKS BASED ON FAST BACTERIAL SWARMING ALGORITHM
【24h】

IMAGE COMPRESSION USING MULTILAYER NEURAL NETWORKS BASED ON FAST BACTERIAL SWARMING ALGORITHM

机译:基于快速细菌群算法的多层神经网络图像压缩

获取原文

摘要

A novel multilayer neural network based on Fast Bacterial Swarming Algorithm (FBSA) for image compression is presented in this paper. The proposed novel neural network combines the traditional structure of two-layer symmetric Artificial Neural Network (ANN) and the newly presented FBSA, which demonstrates quick and good performance for high-dimensional function optimization problems. Comparison of the qualities of the reconstructed images had shown the effective improvement using the proposed algorithm than using the conventional BP network.
机译:提出了一种基于快速细菌群算法(FBSA)的图像压缩多层神经网络。提出的新型神经网络将传统的两层对称人工神经网络(ANN)结构与新提出的FBSA相结合,证明了对高维函数优化问题的快速和良好性能。比较重建图像的质量已显示,与使用传统的BP网络相比,使用所提出的算法可以得到有效的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号