机构

• 西安光学精密机械研究... [2]
• 物理研究所 [1]
• 计算技术研究所 [1]
• 理论物理研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
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采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [7]
• 会议论文 [2]

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• 2024 [1]
• 2022 [1]
• 2020 [1]
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• 2014 [1]
• 2010 [2]
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• Physics [1]

筛选

浏览/检索结果: 共9条，第1-9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 Inverse design of high efficiency and large bandwidth power splitter for arbitrary power ratio based on deep residual network 期刊论文  OAI收割 Optical and Quantum Electronics, 2024, 卷号: 56, 期号: 4 作者:  Wen, Jin;  Wu, Zhengwei;  Zhang, Hui;  Wang, Qian;  Yu, Huimin   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/03/07 Power splitter  Inverse design  Direct binary search  Neural network   Chinese Character Font Classification in Calligraphy and Painting Works Based on Decision Fusion 会议论文  OAI收割 ELECTR NETWORK, 2022-11-17 作者:  Zeng, Zimu;  Zhang, Pengchang;  Wang, Jia;  Tang, Xingjia;  Liu, Xuebin   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/07/11 font classification  convolutional neural network local binary pattern  histogram of oriented gradient  decision fusion   A Binarized Segmented ResNet Based on Edge Computing for Re-Identification 期刊论文  OAI收割 SENSORS, 2020, 卷号: 20, 期号: 23, 页码: 19 作者:  Chen, Yanming;  Yang, Tianbo;  Li, Chao;  Zhang, Yiwen   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/12/01 binary neural network  cloud computing  edge computing  person Re-Identification  end devices   Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 5 作者:  Zhang, Zhong;  Li, Donghong;  Liu, Shuang;  Xiao, Baihua;  Cao, Xiaozhong   |  收藏  |  浏览/下载：45/0  |  提交时间：2018/10/10 Ground-based Cloud Recognition  Transfer Deep Local Binary Patterns  Weighted Metric Learning  Convolutional Neural Network   Density Prediction of Mixtures of Ionic Liquids and Molecular Solvents Using Two New Generalized Models 期刊论文  OAI收割 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 卷号: 53, 期号: 39, 页码: 15270-15277 作者:  Huang, Ying;  Zhao, Yongsheng;  Zeng, Shaojuan;  Zhang, Xiangping;  Zhang, Suojiang 收藏  |  浏览/下载：47/0  |  提交时间：2014/12/01 ARTIFICIAL NEURAL-NETWORK  BINARY-MIXTURES  THERMODYNAMIC PROPERTIES  ACENTRIC FACTORS  COSMO-RS  SYSTEMS  VISCOSITY  CONDUCTIVITY  TEMPERATURE  EQUILIBRIA   Learning by random walks in the weight space of the Ising perceptron 期刊论文  OAI收割 JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2010, 期号: 75, 页码: - 作者:  Huang, Haiping;  Zhou, Haijun;  Huang, HP , Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China   |  收藏  |  浏览/下载：80/0  |  提交时间：2012/08/02 Constraint Satisfaction Problems  Neural Network Models  Binary Perceptron  Storage Capacity  Synapses  Algorithm  Couplings  Plasticity  Dynamics   Learning by random walks in the weight space of the Ising perceptron 期刊论文  OAI收割 JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2010 Huang, HP; Zhou, HJ 收藏  |  浏览/下载：23/0  |  提交时间：2013/09/18 CONSTRAINT SATISFACTION PROBLEMS  NEURAL NETWORK MODELS  BINARY PERCEPTRON  STORAGE CAPACITY  SYNAPSES  ALGORITHM  COUPLINGS  PLASTICITY  DYNAMICS   An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Chuan W.; Ming Z.; Dong Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling  shifting  rotation if eigenvectors can not be chosen appropriately. In order to solve this problem  the image is edged  the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively  correctly and quickly.   Bounds on the number of hidden neurons in three-layer binary neural networks 期刊论文  OAI收割 NEURAL NETWORKS, 2003, 卷号: 16, 期号: 7, 页码: 995-1002 作者:  Zhang, ZZ;  Ma, XM;  Yang, YX   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30 three-layer binary neural network  Boolean function  set covering algorithm  unit sphere covering  Hamming space  weighted distance sphere