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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：大连理工大学    第一署名单位    第一作者单位    通讯作者单位     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 Intelligent clustering cooperative spectrum sensing based on Bayesian learning for cognitive radio network 期刊论文 AD HOC NETWORKS, 2019, 卷号: 94 作者:  Liu, Xin;  Zhang, Xueyan;  Ding, Hua;  Peng, Bao 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/02 Cognitive radio  Clustering cooperative spectrum sensing  Bayesian learning  Sensing probability  Rate loss   Length-Changeable Incremental Extreme Learning Machine 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2017, 卷号: 32, 页码: 630-643 作者:  Wu, You-Xi;  Liu, Dong;  Jiang, He 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 single-hidden-layer feed-forward network (SLFN)  incremental extreme learning machine (I-ELM)  random hidden node  convergence rate  universal approximation   Bandwidth and Power Allocation for Wireless Cognitive Network with Eavesdropper 会议论文 1st International Conference on Machine Learning and Intelligent Communications (MLICOM), Shanghai, PEOPLES R CHINA, 2016-08-27 作者:  Gu, Kecai;  Lu, Weidang;  Zhou, Guomin;  Peng, Hong;  Xu, Zhijiang 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/09 Cognitive radio  Physical layer security  Artificial noise  Achievable secrecy rate  Power allocation   Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 页码: S379-S394 作者:  Qu, Yanpeng;  Shang, Changjing;  Yang, Jie;  Wu, Wei;  Shen, Qiang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/11 Neural networks  LCFNNs  Convergence  Constant learning rate  Gaussian basis function   A modified gradient-based neuro-fuzzy learning algorithm and its convergence 期刊论文 INFORMATION SCIENCES, 2010, 卷号: 180, 页码: 1630-1642 作者:  Wu, Wei;  Li, Long;  Yang, Jie;  Liu, Yan 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/24 Zero-order Takagi-Sugeno inference system  Modified gradient-based neuro-fuzzy learning algorithm  Convergence  Constant learning rate  Gaussian membership function   Deterministic convergence of an online gradient method for neural networks 期刊论文 International Symposium on Applied Mathermatics, 2002, 卷号: 144, 页码: 335-347 作者:  Wu, W;  Xu, YS 收藏  |  浏览/下载：4/0  |  提交时间：2020/01/02 online stochastic gradient method  nonlinear feedforward neural networks  deterministic convergence  monotonicity  constant learning rate