机构

• 地质与地球物理研究所 [1]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2019 [1]
• 2009 [2]

学科主题

筛选

浏览/检索结果: 共3条，第1-3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 An integrated approach for landslide susceptibility mapping by considering spatial correlation and fractal distribution of clustered landslide data 期刊论文  OAI收割 LANDSLIDES, 2019, 卷号: 16, 期号: 4, 页码: 715-728 作者:  Liu, Linan;  Li, Shouding;  Li, Xiao;  Jiang, Yue;  Wei, Wenhui   |  收藏  |  浏览/下载：55/0  |  提交时间：2019/05/20 Landslide clustering  Fractal  Spatial statistics  Validation statistics  Landslide susceptibility mapping   Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2009, 卷号: 21, 期号: 9, 页码: 1249-1262 作者:  Luo, Ping;  Xiong, Hui;  Zhan, Guoxing;  Wu, Junjie;  Shi, Zhongzhi   |  收藏  |  浏览/下载：22/0  |  提交时间：2019/12/16 Clustering validation  entropy  information-theoretic distance measures  K-means clustering   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.