机构

• 自动化研究所 [3]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2015 [1]
• 2009 [1]
• 2004 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文  OAI收割 IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891 作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/07/25 Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability   A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With F-18-FDG PET/CT 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2015, 卷号: 62, 期号: 10, 页码: 2465-2479 作者:  Mu, Wei;  Chen, Zhe;  Shen, Wei;  Yang, Feng;  Liang, Ying 收藏  |  浏览/下载：47/0  |  提交时间：2015/11/04 Cervical tumor segmentation  Fuzzy-C-Means (FCM)  improved level set method  Positron-emission tomography/computed tomography (PET/CT) images   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.   Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 卷号: 34, 期号: 4, 页码: 1907-1916 作者:  Chen, SC;  Zhang, DQ 收藏  |  浏览/下载：87/0  |  提交时间：2015/11/08 fuzzy C-means clustering (FCM)  image segmentation  kernel-induced distance measures  kernel methods  robustness  spatial constraints