在线阅读 --自然科学版 2014年1期《一种确定模糊测度参数的粒子群和梯度下降混合算法》
一种确定模糊测度参数的粒子群和梯度下降混合算法--[在线阅读]
王兵1, 樊星2, 顾力栩2,3, 赵环宇4
1. 河北大学 数学与计算机学院, 河北 保定 071002;
2. 河北大学 医工交叉研究中心, 河北 保定 071002;
3. 上海交通大学 生物医学工程学院, 上海 200030;
4. 河北省食品质量监督检验研究院, 河北 石家庄 051000
起止页码: 25--29页
DOI: 10.11826/j.issn.1000-5854.2014.01.006
摘要
根据粒子群算法和梯度下降算法的特点,针对确定模糊测度的特性,设计基于2种技术的混合算法.在比较分析原始算法以及其他相关算法的基础上,证明了算法的有效性和高效性.

A Method Based on Particle Swarm Optimization and Gradient Descent Algorithm for Fuzzy Measure Determination
WANG Bing1, FAN Xing2, GU Lixu2,3, ZHAO Huanyu4
1. College of Mathematics and Computer Science, Hebei University, Hebei Baoding 071002, China;
2. Biomedical Multidisciplinary Research Center, Hebei University, Hebei Baoding 071002, China;
3. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China;
4. Hebei Institute of Food Quality Supervision Inspection and Research, Hebei Shijiazhuang 051000, China
Abstract:
Based on particle swarm optimization and gradient descent algorithm, we design a hybrid algorithm to determine λ fuzzy measure.Our algorithm is more effective and efficient than the basic algorithm and its existing enhencements.

收稿日期: 2013-4-12
基金项目: 河北省科技计划项目(12275528D)

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