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大连理工大学 [11]

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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

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	A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence 期刊论文 NEURAL PROCESSING LETTERS, 2019, 卷号: 50, 页码: 1589-1609 作者: Liu, Yan; Yang, Dakun; Li, Long; Yang, Jie 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 Neuro-fuzzy TS system Split-complex valued Neural networks Convergence
	Smoothed L-1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results 期刊论文 JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 卷号: 355, 页码: 6132-6151 作者: Liu, Yan; Yang, Dakun; Li, Feng 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02
	Relaxed conditions for convergence analysis of online back-propagation algorithm with L-2 regularizer for Sigma-Pi-Sigma neural network 期刊论文 NEUROCOMPUTING, 2018, 卷号: 272, 页码: 163-169 作者: Liu, Yan; Yang, Dakun; Zhang, Chao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 L-2 regularizer Sigma-Pi-Sigma network Convergence Boundedness
	Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models 期刊论文 NEURAL PROCESSING LETTERS, 2016, 卷号: 43, 页码: 745-758 作者: Liu, Yan; Yang, Dakun; Nan, Nan; Guo, Li; Zhang, Jianjun 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/09 TSK fuzzy models Pi-sigma network Strong convergence Gradient-based learning algorithm
	Extreme learning machine for interval neural networks 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2016, 卷号: 27, 页码: 3-8 作者: Yang, Dakun; Li, Zhengxue; Wu, Wei 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/09 Interval computation Interval neural network Extreme learning machine Interval extreme learning machine
	A Modified Learning Algorithm for Interval Perceptrons with Interval Weights 期刊论文 NEURAL PROCESSING LETTERS, 2015, 卷号: 42, 页码: 381-396 作者: Yang, Dakun; Li, Zhengxue; Liu, Yan; Zhang, Huisheng; Wu, Wei 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/09 Interval perceptron Interval computation Interval neural network Interval weight Convergence
	Convergence of batch gradient learning algorithm with smoothing L-1/2 regularization for Sigma-Pi-Sigma neural networks 期刊论文 NEUROCOMPUTING, 2015, 卷号: 151, 页码: 333-341 作者: Liu, Yan; Li, Zhengxue; Yang, Dakun; Mohamed, Kh. Sh.; Wang, Jing 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/12/09 Sigma-Pi-Sigma neural networks Batch gradient learning algorithm Convergence Smoothing L-1/2 regularization
	A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks 会议论文 11th International Symposium on Neural Networks (ISNN), PEOPLES R CHINA, 2014-01-01 作者: Yang, Wenyu; Yang, Dakun; Fan, Yetian 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 Spiking neuron Error-backpropagation Differentiation of the firing time Implicit function theorem
	Batch gradient method with smoothing L-1/2 regularization for training of feedforward neural networks 期刊论文 NEURAL NETWORKS, 2014, 卷号: 50, 页码: 72-78 作者: Wu, Wei; Fan, Qinwei; Zurada, Jacek M.; Wang, Jian; Yang, Dakun 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 Feedforward neural networks Batch gradient method Smoothing L-1/2 regularization Convergence
	A modified gradient learning algorithm with smoothing L-1/2 regularization for Takagi-Sugeno fuzzy models 期刊论文 NEUROCOMPUTING, 2014, 卷号: 138, 页码: 229-237 作者: Liu, Yan; Wu, Wei; Fan, Qinwei; Yang, Dakun; Wang, Jian 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/09 Takagi-Sugeno (T-S) fuzzy models Gradient descent method Convergence Gaussian-type membership function Variable selection Regularizer

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