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基于脉冲神经网络的手部康复动作识别 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  刘洋
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脉冲神经网络  表面肌电信号  手部康复动作识别  学习算法  
ESI计算机科学领域热点论文信息推送(2019年1月) 其他
2019-01-01
Authors:  张桂英
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ESI工程学热点论文推送2018年第3期 其他
2018-07-01
Authors:  张桂英
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Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control 期刊论文
NEUROCOMPUTING, 2018, 卷号: 289, 页码: 144-154
Authors:  Li, Yueheng;  Luo, Biao;  Liu, Derong;  Yang, Zhanyu
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Memristive Neural Networks  Robust Synchronization  Mismatch Characteristics  Pinning Control  
A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks 会议论文
, New Orleans, Louisiana, USA., February 2-7, 2018
Authors:  Zhang TL(张铁林);  Ceng Y(曾毅);  Zhao DC(赵东城);  Shi MT(史梦婷);  Tielin Zhang, Yi Zeng
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Spiking Neural Network  
An ACP-based Approach to Color Image Encryption Using DNA Sequence Operation and Hyper-chaotic System 会议论文
, Banff Center, Banff, Canada, October 5-8, 2017
Authors:  Wenbo Zheng;  Fei-Yue Wang;  Kunfeng Wang
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LMI Conditions for Global Stability of Fractional-Order Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2423-2433
Authors:  Zhang, Shuo;  Yu, Yongguang;  Yu, Junzhi
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Fractional Order  Generalized Projective Synchronization (Gps)  Linear Matrix Inequality (Lmi)  Neural Networks  Stability  
Pinning synchronization of memristor-based neural networks with time-varying delays 期刊论文
NEURAL NETWORKS, 2017, 卷号: 93, 期号: 无, 页码: 143-151
Authors:  Yang, Zhanyu;  Luo, Biao;  Liu, Derong;  Li, Yueheng
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Memristor-based Neural Networks  Pinning Control  Time-varying Delays  Exponential Synchronization  Asymptotic Synchronization  
ESI计算机科学热点论文推送2016年第2期 其他
2016-04-01
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Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks 期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2015, 卷号: 29, 期号: 7, 页码: 1555015 (32 pages)
Authors:  Wang, Kunfeng;  Yao, Yanjie;  Wang, Kunfeng(王坤峰)
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Vehicle Detection  Virtual Loop  Neuro-fuzzy Network  Combined Classifier  Semi-supervised Learning