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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Spiking neural network-based target tracking control for autonomous mobile robots 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2015, 卷号: 26, 期号: 8, 页码: 1839-1847 作者:  Cao, Zhiqiang;  Cheng, Long;  Zhou, Chao;  Gu, Nong;  Wang, Xu 收藏  |  浏览/下载：21/0  |  提交时间：2015/11/04 Spiking neural network  Autonomous mobile robot  Spike trains  Target tracking  Hebbian learning   Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns 会议论文 作者:  Lu, Hu;  Liu, Zhe;  Song, Yuqing 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/19 Optimization algorithm  Modularity function  Spike trains  Firing patterns   Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns 会议论文 ADVANCES IN NEURAL NETWORKS - ISNN 2014, 2014-01-01 作者:  Lu, Hu[1];  Liu, Zhe[2];  Song, Yuqing[3] 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/24 Optimization algorithm  Modularity function  Spike trains  Firing patterns   Moving target detection and classification using spiking neural networks (EI CONFERENCE) 会议论文 2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011, October 23, 2011 - October 25, 2011, Xi'an, China Cai R.; Wu Q.; Wang P.; Sun H.; Wang Z. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 We proposed a spiking neural network (SNN) to detect moving target in video streams and classify them into real categorization in this paper. The proposed SNN uses spike trains to encoding information such as the gray value of pixels or feature parameters of the target  detects moving target by simulating the visual cortex for motion detection in biological system with axonal delays and classify them into different categorizations according to their distance to categorization's centers found by Hebb learning rule. The experimental results show that the proposed SNN is promising in intelligence computation and applicable in general visual surveillance system. 2012 Springer-Verlag.   Classification of Multi-spike Trains and Its Application in Detecting Task Relevant Neural Cliques 会议论文 作者:  Hu, Fanxing;  Li, Bao-Ming;  Wei, Hui 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/19 multi-spike trains classification  task relevant cliques  minimum graph cut