机构

• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 重庆绿色智能技术研究... [1]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2019 [1]
• 2018 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5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 Modeling and Prediction of Thermal Deformation Errors in Fiber Optic Gyroscopes Based on the TD-Model 期刊论文  OAI收割 Sensors, 2023, 卷号: 23, 期号: 23 作者:  Xu, Jintao;  Tian, Ailing;  Liu, Hui;  Liu, Ying   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/01/08 fiber optic gyroscope  thermal errors  prediction model  overfitting  biased regression   Diversified Regularization Enhanced Training for Effective Manipulator Calibration 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13 作者:  Li, Zhibin;  Li, Shuai;  Bamasag, Omaimah Omar;  Alhothali, Areej;  Luo, Xin   |  收藏  |  浏览/下载：46/0  |  提交时间：2022/08/22 Robots  Robot kinematics  Calibration  Service robots  Robot sensing systems  Kinematics  End effectors  Absolute positioning accuracy  ensemble  kinematic parameters  overfitting  regularization scheme  robot arms   Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 8, 页码: 1975-1985 作者:  Liu Yang;  Zhang Jian-jing;  Zhu Chong-hao;  Xiang Bo;  Wang Dong   |  收藏  |  浏览/下载：14/0  |  提交时间：2020/11/04 Geotechnical evaluation  Overfitting problem  Bayesian network  Prior knowledge  Fuzzy set theory  Support vector machine   Online Similarity Learning for Big Data with Overfitting 期刊论文  OAI收割 IEEE Transactions on Big Data, 2018, 卷号: 4, 期号: 1, 页码: 78-89 作者:  Fan BJ(范保杰);  Zeng P(曾鹏);  Yu HB(于海斌);  Luo JB(罗杰波);  Cong Y(丛杨)   |  收藏  |  浏览/下载：44/0  |  提交时间：2017/12/21 online learning  similarity learning  low rank  sparse representation  feature selection  overfitting, redundancy   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.