中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
采集方式
OAI收割 [2]
内容类型
会议论文 [1]
期刊论文 [1]
发表日期
2015 [1]
2009 [1]
学科主题
筛选
浏览/检索结果:
共2条,第1-2条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought
期刊论文
OAI收割
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2015, 卷号: 21, 期号: 1, 页码: 16938-16962
作者:
Jia, Huicong
;
Pan, Donghua
;
Yuan, Yi
;
Zhang, Wanchang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/04/20
geographical factor
backpropagation (BP) neural network
populations with difficulties accessing drinking water because of drought
rapid assessment
2013 Guizhou Extreme Drought of China
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.