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浏览/检索结果: 共12条，第1-10条 帮助

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Three-dimensional gravity inversion based on optimization processing from edge detection 期刊论文  OAI收割
GEODESY AND GEODYNAMICS, 2022, 卷号: 13, 期号: 5, 页码: 503-524
作者:  Liu Sheng;  Jin Shuanggen;  Chen Qiang
  |  收藏  |  浏览/下载：5/0  |  提交时间：2023/05/23
A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm 期刊论文  OAI收割
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 页码: 12
作者:  Zhang, Shunchao;  Wang, Yonghua;  Li, Jiangfan;  Wan, Pin;  Zhang, Yongwei
  |  收藏  |  浏览/下载：42/0  |  提交时间：2019/07/12
A Novel Double-Index-Constrained, Multi-view, Fuzzy-Clustering Algorithm and Its Application for Detecting Epilepsy Electroencephalogram Signals 期刊论文  OAI收割
IEEE ACCESS, 2019, 卷号: 7, 页码: 103823-103832
作者:  Zhu, Jiaqi;  Li, Kang;  Xia, Kaijian;  Gu, Xiaoqing;  Xue, Jing
  |  收藏  |  浏览/下载：45/0  |  提交时间：2019/09/19
An improved FCM algorithm with adaptive weights based on SA-PSO 期刊论文  OAI收割
NEURAL COMPUTING & APPLICATIONS, 2017, 卷号: 28, 期号: 10, 页码: 3113-3118
作者:  Wu, Ziheng;  Wu, Zhongcheng;  Zhang, Jun
  |  收藏  |  浏览/下载：52/0  |  提交时间：2018/08/16
A Real-Time Image Processing Method for Multi-Beam Forward-Looking Sonar of AUV 会议论文  OAI收割
2014 International Conference on Mechatronics Engineering and Modern Technologies in Industrial Engineering (MEMTIE 2014), Changsha, Hunan, China, October 25-26, 2014
作者:  Gao L(高雷);  Xu HL(徐红丽)
收藏  |  浏览/下载：19/0  |  提交时间：2015/12/13
An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods 会议论文  OAI收割
International Conference on Electronics, Information Technology and Intellectualization, EITI 2014, Shenzhen, China, August 16-17, 2014
作者:  Liu Y(刘洋);  Hu KY(胡琨元);  Zhu YL(朱云龙);  Chen HN(陈瀚宁)
收藏  |  浏览/下载：31/0  |  提交时间：2017/03/14
An integrative hierarchical stepwise sampling strategy for spatial sampling and its application in digital soil mapping SCI/SSCI论文  OAI收割
2013
作者:  Pei T.;  Yang L.
收藏  |  浏览/下载：38/0  |  提交时间：2014/12/24
Overhead power line detection from UAV video images 会议论文  OAI收割
2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012, Auckland, New zealand, November 28-30, 2012
作者:  Yang TW(杨唐文);  Yin, Hang;  Ruan QQ(阮秋琦);  Han JD(韩建达);  Qi JT(齐俊桐)
收藏  |  浏览/下载：60/0  |  提交时间：2017/03/14
An electro-optical tracking method in target separation based on fuzzy clustering association rules (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Guo T.-J.; Gao H.-B.; Zhang S.-M.; Wu Y.-J.
收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation  the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation  the theoretical trajectory of the target is corrected by the error correcting value firstly  and then the fuzzy clustering association algorithm is applied to calculate the similarity between the measuring data of the target from sensors and the corrected theoretical trajectory. The similarity helps to identify whether the measured data is from the real target or not. Experimental results show that the authenticity of the target can be determined effectively. The identified results can be used as the decision-making basis of the servo sub-system and TV trackers  which can improve the continuous tracking probability of the electro-optical tracking system in the target separation. 2010 IEEE.  
A new early stopping algorithm for improving neural network generalization (EI CONFERENCE) 会议论文  OAI收割
2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China
作者:  Liu J.-G.;  Wu X.-X.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
As generalization ability of neural network was restricted by overfitting problem in the network's training. Early stopping algorithm based on fuzzy clustering was put forward to solve this problem in this paper. Subtractive clustering and Fuzzy C-Means clustering (FCM) were combined to realize optimal division of training set  validation set and test set. How to realize this algorithm in backpropagation (BP) network by utilizing neural network toolbox and fuzzy logic toolbox in MATLAB was dwelled on. Early stopping algorithm based on fuzzy clustering and other early stopping algorithms were applied in function approximation and pattern recognition problems in validation experiments. Experiments results indicate that early stopping algorithm based on fuzzy clustering has higher precision in comparison to other early stopping algorithms. Outputs of training set  validation set and test set are more accordant. 2009 IEEE.