| 基于新的AFCM算法的陀螺仪漂移预测 |
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| 引用本文： | 王兆强,胡昌华,周志杰,孔祥玉.基于新的AFCM算法的陀螺仪漂移预测[J].电光与控制,2011,18(4):51-55. |
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| 作者姓名： | 王兆强 胡昌华 周志杰 孔祥玉 |
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| 作者单位： | 第二炮兵工程学院,西安,710025 |
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| 基金项目： | 国家自然科学基金重点课题，中国博士后科学基金特别资助 |
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| 摘 要： | 为克服模糊规则提取的盲目性和随机性,提出了一种基于新的自适应模糊C-均值聚类(AFCM)算法的T-S 模糊建模方法.首先利用减法聚类来确定聚类数目的上限和初始聚类中心,然后采用改进的模糊C-均值聚类(FCM).算法进一步优化聚类中心,最后通过聚类有效性评判方法自适应地确定规则数及聚类中心,同时改进的FCM算法也克服了野...
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| 关 键 词： | 陀螺仪漂移 预测 自适应模糊C-均值聚类算法 T-S模糊模型 |
Gyroscopic Drift Forecasting Based on a New Adaptive Fuzzy C-Means Clustering Algorithm |
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| WANG Zhaoqiang,HU Changhua,ZHOU Zhijie,KONG Xiangyu.Gyroscopic Drift Forecasting Based on a New Adaptive Fuzzy C-Means Clustering Algorithm[J].Electronics Optics & Control,2011,18(4):51-55. |
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| Authors: | WANG Zhaoqiang HU Changhua ZHOU Zhijie KONG Xiangyu |
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| Affiliation: | WANG Zhaoqiang,HU Changhua,ZHOU Zhijie,KONG Xiangyu(Xi'an Institute of Hi-Tech,Xi'an 710025,China) |
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| Abstract: | In order to avoid the blindness and randomness in extracting fuzzy rules,an approach for constructing T-S fuzzy models was proposed on the basis of a new Adaptive Fuzzy C-means(AFCM) Clustering Algorithm.Firstly,subtractive clustering was utilized to determine the upper limit of clustering number and the initial clustering centers.Then an improved Fuzzy C-means clustering algorithm was adopted to optimize the clustering centers.Finally,the number of fuzzy rules and the clustering centers were confirmed adap... |
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| Keywords: | gyroscopic drift forecasting adaptive fuzzy C-means clustering algorithm T-S fuzzy model |
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