兰州大学机构库

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Review of pulse-coupled neural networks 期刊论文
IMAGE AND VISION COMPUTING, 2010, 卷号: 28, 期号: 1, 页码: 5-13
Authors:  Wang, ZB(王兆滨);  Ma, YD(马义德);  Cheng, Feiyan;  Yang, Lizhen
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Pulse-coupled neural networks (PCNN)  Image processing  Artificial neural network  
Feed-back neural networks with discrete weights 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 6, 页码: 1063-1069
Authors:  Wang, Lijuan;  Zhou, Qingguo;  Jin, Tao;  Zhao, Hong
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Monte Carlo Adaptation  Chaos phase  Pure memory phase  Mixture phase  Discrete weights  Feed-back neural network  
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2014, 卷号: 56, 页码: 226-239
Authors:  Ren, C(任超);  An, Ning;  Wang, Jianzhou;  Li, L(李廉);  Hu, B(胡斌);  Shang, Duo
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BP neural network  Input parameters selection  Particle swarm optimization algorithm  Wind speed  Wind forecasting  
Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method 期刊论文
IEEE Access, 2020, 卷号: 8, 期号: *, 页码: 202459-202468
Authors:  Lou, Xiao;  Zhu, Youzhe;  Punithakumar, Kumaradevan;  Le, Lawrence H.;  Li, Baosheng
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Computed Tomography  Deep Learning  Esophagus  Segmentation  U-net  Automation  Computerized tomography  Deep learning  Image segmentation  Learning systems  Three dimensional computer graphicsComputed tomography images  Convex-hull approach  Experimental evaluation  Level set algorithm  Segmentation methods  Segmentation results  Semiautomatic methods  Topological levels  
Discrete Perturbation-Immunity Neural Network for Dynamic Constrained Redundant Robot Control 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 84490-84500
Authors:  Yang, Jun;  Chen, Li;  Qi, Yimeng;  Liu, M(刘梅);  Cui, Chen
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Discrete perturbation-immunity neural network (DPINN)  physical constraints  robots  theoretical verifications  
Recurrent Neural Network for State Adjustment of Redundant Manipulators 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 109783-109790
Authors:  Jin, Long;  He, Li;  Huang, Zhiguan;  Wang, Jun
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Task analysis  Recurrent neural networks  Optimization  End effectors  Redundancy  Convergence  State-adjustment scheme  recurrent neural network  redundant manipulators  
Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 89281-89290
Authors:  Z. Huang;  X. Du;  L. Chen;  Y. Li;  M. Liu;  Y. Chou;  L. Jin
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Convolutional neural network  complex networks  randomly generated graph  network generator  brain tumors  
Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification with a Modified Activation Function 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 89281-89290
Authors:  Huang, Zhiguan;  Du, Xiaohao;  Chen, Liangming;  Li, Yuhe;  Liu, M(刘梅);  Chou, Yao;  Jin, L(金龙)
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Pattern recognition using asymmetric attractor neural networks 期刊论文
Physical Review E: statistical, nonlinear, and soft matter physics, 2005, 卷号: 72, 期号: 6, 页码: -
Authors:  Jin, T;  Zhao, H;  Jin, T (reprint author), Lanzhou Univ, Dept Phys, Lanzhou 730000, Peoples R China.
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Effects of Dietary Energy Levels on Rumen Fermentation, Microbial Diversity, and Feed Efficiency of Yaks (Bos grunniens) 期刊论文
Frontiers in Microbiology, 2020, 卷号: 11
Authors:  Ahmad, Anum Ali;  Yang, Chao;  Zhang, Jianbo;  Kalwar, Qudratullah;  Liang, Zeyi;  Li, Chen;  Du, Mei;  Yan, Ping;  Long, Ruijun;  Han, Jianlin...Ahmad, Anum Ali;  Yang, Chao;  Zhang, Jianbo;  Kalwar, Qudratullah;  Liang, Zeyi;  Li, Chen;  Du, Mei;  Yan, Ping;  Long, Ruijun;  Han, Jianlin;  Ding, Xuezhi
Adobe PDF(2090Kb)  |  Favorite  |    Submit date:2020/12/17
yak  dietary energy  rumen microbiota  volatile fatty acid  feed efficiency  growth performance