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

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.

关键词： Image compression Multilayer neural network Fast bacterial swarming algorithm

作者: YING CHU HUA MI ZHEN JI ZI-BO SHAO

作者单位: TI DSPs Lab, Faculty of Information Engineering, Shenzhen University, Shenzhen 518060, China Department of Electronic & Electrical Engineering, University College London, London, WC1E 7JE, UK

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2890-2893

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）