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基于粒子群优化的目标分类算法 被引量:1
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作者 穆瑞辉 《新乡学院学报》 2013年第4期277-279,共3页
定义一个确定聚类数K和初始数据中心的算法,将由算法得到的初始数据中心作为初始粒子,用粒子群优化算法寻优,获得最优数据中心;使用模糊K-Means算法,采用最优数据中心进行聚类.在UCI数据集上的实验结果表明,算法能准确实现分类,具有较... 定义一个确定聚类数K和初始数据中心的算法,将由算法得到的初始数据中心作为初始粒子,用粒子群优化算法寻优,获得最优数据中心;使用模糊K-Means算法,采用最优数据中心进行聚类.在UCI数据集上的实验结果表明,算法能准确实现分类,具有较强的全局寻优能力和较快的收敛能力,寻优时间较少,能有效地解决目标分类问题. 展开更多
关键词 粒子群 目标分类问题 最优数据中心聚类
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Depth Classification of Underwater Targets Based on Complex Acoustic Intensity of Normal Modes 被引量:3
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作者 YANG Guang YIN Jingwei +1 位作者 YU Yun SHI Zhenhua 《Journal of Ocean University of China》 SCIE CAS 2016年第2期241-246,共6页
In order to solve the problem of depth classification of the underwater target in a very low frequency acoustic field, the active component of cross spectra of particle pressure and horizontal velocity (ACCSPPHV) is... In order to solve the problem of depth classification of the underwater target in a very low frequency acoustic field, the active component of cross spectra of particle pressure and horizontal velocity (ACCSPPHV) is adopted to distinguish the surface vessel and the underwater target. According to the effective depth of a Pekeris waveguide, the placing depth forecasting equations of passive vertical double vector hydrophones are proposed. Numerical examples show that when the sum of depths of two hydro- phones is the effective depth, the sign distribution of ACCSPPHV has nothing to do with horizontal distance; in addition, the sum of the first critical surface and the second critical surface is equal to the effective depth. By setting the first critical surface less than the difference between the effective water depth and the actual water depth, that is, the second critical surface is greater than the actual depth, the three positive and negative regions of the whole ocean volume are equivalent to two positive and negative regions and therefore the depth classification of the underwater target is obtained. Besides, when the 20 m water depth is taken as the first critical surface in the simulation of underwater targets (40 Hz, 50 Hz, and 60 Hz respectively), the effectiveness of the algorithm and the cor- reemess of relevant conclusions are verified, and the analysis of the corresponding forecasting performance is conducted. 展开更多
关键词 the placing depth forecasting equations the effective depth depth classification Pekeris waveguide
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