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]
• 数学与系统科学研究院 [1]
• 自动化研究所 [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

• 2021 [1]
• 2018 [2]
• 2012 [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 Application of Sample-Compressed Neural Network and Adaptive-Clustering Algorithm for Magnetotelluric Inverse Modeling 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 9, 页码: 1540-1544 作者:  Liu, Weiqiang;  Lu, Qingtian;  Yang, Liangyong;  Lin, Pinrong;  Wang, Zhihui   |  收藏  |  浏览/下载：95/0  |  提交时间：2021/11/01 Machine learning algorithms  Neural networks  Clustering algorithms  Discrete cosine transforms  Training  Image coding  Geology  Artificial neural networks (ANNs)  clustering methods  geophysical image processing  geophysics   Levenberg-Marquadt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 8, 页码: 3436-3446 作者:  Lv, Chen;  Xing, Yang;  Zhang, Junzhi;  Na, Xiaoxiang;  Li, Yutong   |  收藏  |  浏览/下载：41/0  |  提交时间：2018/10/10 Artificial Neural Networks (Anns)  Brake Pressure Estimation  Cyber-physical System (Cps)  Electric Vehicle (Ev)  Levenberg-marquardt Backpropagation (Lmbp)  Safety-critical System   Research and development of neural network ensembles: a survey 期刊论文  OAI收割 ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 455-479 作者:  Li, Hui;  Wang, Xuesong;  Ding, Shifei   |  收藏  |  浏览/下载：19/0  |  提交时间：2019/12/10 Artificial neural networks (ANNs)  Granular computing (GrC)  Neural network ensemble (NNE)   An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者:  Yu P.;  Yu P. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文  OAI收割 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102 作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/07/30 Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining