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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 An Adaptive Feature Selection Algorithm for Fuzzy Clustering Image Segmentation Based on Embedded Neighbourhood Information Constraints 期刊论文 Sensors, 2020, 卷号: 20, 期号: 13, 页码: 31 作者:  H. Ren and T. T. Hu 收藏  |  浏览/下载：4/0  |  提交时间：2021/07/06 A Local Neighborhood Robust Fuzzy Clustering Image Segmentation Algorithm Based on an Adaptive Feature Selection Gaussian Mixture Model 期刊论文 Sensors, 2020, 卷号: 20, 期号: 8, 页码: 25 作者:  H. Ren and T. T. Hu 收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06 Improved genetic algorithm based on variable weighting FCM clustering algorithm 会议论文 9th International Symposium on Linear Drives for Industry Applications, LDIA 2013, July 7, 2013 - July 10, 2013, Hangzhou, China Fu J.; Chu S.; Han Z.; Zhao X.; Zhai X. 收藏  |  浏览/下载：14/0  |  提交时间：2015/04/27 A new early stopping algorithm for improving neural network generalization (EI CONFERENCE) 会议论文 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China Wu X.-X.; Liu J.-G. 收藏  |  浏览/下载：19/0  |  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.   Application of high-precision fuzzy control alorithm with self-regulation factor in RF hyperthermia system (EI CONFERENCE) 会议论文 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, August 19, 2007 - August 22, 2007, Hong Kong, China Wang B.-D.; Chen Y.-Y.; Jiang C.-H. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 RF hyperthermia system is a kind of medical device to restrain and kill cancer tumor base on RF heating technique and biology heating effect theory. The mathematical model of the control system is very difficult to be formed due to the extreme complication physical process of temperature increase during the thermal treatment and the various structure and characteristic of internal tissues. In this paper  we present a new fuzzy control algorithm  in which a self-regulation factor is adopted to realize real-time temperature control with high-precision controller. By means of software arithmetic and hardware adjustment  accurate temperature and time control can be achieved in this system. 2007 IEEE.