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• 地理科学与资源研究所 [2]
• 计算技术研究所 [2]
• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [2]
• 自动化研究所 [2]
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• OAI收割 [14]

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• 期刊论文 [10]
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• 2023 [2]
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筛选

浏览/检索结果: 共14条，第1-10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 Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 卷号: 12, 期号: 4, 页码: 161 作者:  Yin, Lingzhi;  Wang, Yafei   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/06/10 Chinese railway network  complex network  self-organizing maps  spatiotemporal clustering  trajectory analysis   Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2023, 卷号: 382, 页码: 135367 作者:  Feng, Zhaohui;  Zhang, Zhongwei;  Zuo, Yiping;  Wan, Xiaoming;  Wang, Lingqing   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/07/14 Back propagation artificial neural network  Driving factors  Self-organizing map  Water quality   TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2022, 卷号: 16, 期号: 4, 页码: 636-650 作者:  Wang, Haibing;  He, Zhen;  Wang, Tengxiao;  He, Junxian;  Zhou, Xichuan   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/07/12 Neurons  Neuromorphics  Hardware  System-on-chip  Field programmable gate arrays  Synapses  Self-organizing feature maps  Neuromorphic system  spiking neural network  spike-timing dependent plasticity  self-organizing map  reinforce- ment learning  on-chip learning   A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 17 作者:  Tong, Wenhua;  Zou, Decai;  Han, Tao;  Zhang, Xiaozhen;  Shen, Pengli   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/08/15 Beidou Navigation Satellite System  self-organizing network  robust filtering  fading filtering  federated kalman filtering   基于自组织映射神经网络的东亚区大尺度环流异常及其与气候异常的关系研究 学位论文  OAI收割 中科院烟台海岸带研究所: 中国科学院大学, 2020 作者:  杨叶   |  收藏  |  浏览/下载：31/0  |  提交时间：2020/06/17 东亚  气候变化  大气环流模态  自组织映射神经网络  East Asia  Climate Change  Atmospheric Circulation Patterns  Self-Organizing Map Neural Network   Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban stormin Beijing 期刊论文  OAI收割 Journal of Mountain Science, 2017, 卷号: 14, 期号: 5, 页码: 898-905 作者:  LAI Wen-li;  WANG Hong-rui;  WANG Cheng;  ZHANG Jie;  ZHAO Yong   |  收藏  |  浏览/下载：32/0  |  提交时间：2017/06/21 Waterlogging Risk Assessment  Self-organizing Map (Som) Neural Network  Urban Storm   Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos 会议论文  OAI收割 Honolulu, Hawaii, 20170721-20170726 作者:  Du, Yang;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Maybank, Stephen   |  收藏  |  浏览/下载：21/0  |  提交时间：2018/01/04 Dynamic Object Detection  Self-organizing Map  Deep Network   Self-Organizing Maps for the Classification of Gallic Acylate Polyphenols as HSV-1 Inhibitors 期刊论文  OAI收割 MEDICINAL CHEMISTRY, 2014, 卷号: 10, 期号: 4, 页码: 388-401 作者:  Qiu, Xianxiu;  Zhong, Meigong;  Xiang, Yangfei;  Qu, Chang;  Pei, Ying 收藏  |  浏览/下载：58/0  |  提交时间：2014/06/23 Artificial neural network  counterpropagation neural networks  gallic acylate polyphenol  herpes simplex viruses  self-organizing maps  structure-activity relationship   Self-organizing map of complex networks for community detection 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2010, 卷号: 23, 期号: 5, 页码: 931-941 作者:  Li, Zhenping;  Wang, Ruisheng;  Zhang, Xiang-Sun;  Chen, Luonan   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 Community detection  complex network  neural networks  self-organizing map   Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, May 11, 2010 - May 12, 2010, Changsha, China Zhong C.; Ding Y.; Fu J. 收藏  |  浏览/下载：40/0  |  提交时间：2013/03/25 This article is about the recognition for handwritten characters. Firstly  we use some conventional methods to preprocess the images and introduce the 13-point feature of skeleton method to extract the data that containing feature of the handwritten character. Secondly  we use the data to train the self-organizing competition network. In the end  we test the net and conclude that this method has a good performance at handwritten character recognition. 2010 IEEE.