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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2018    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 BP Neural Network with Regularization and Sensor Array for Prediction of Component Concentration of Mixed Gas 会议论文 ADVANCES IN NEURAL NETWORKS - ISNN 2018, 2018-01-01 作者:  Zhao, Lin;  Wang, Jing;  Chen, Xiuyu 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 BP neural network  Mixed gas recognition  Component concentration  L-1 regularization   Concept Factorization by Joint Locality-constrained and l(2,1)-norm Regularization for Image Representation 期刊论文 JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2018, 卷号: 31, 页码: 85-103 作者:  Jiang, Wei;  Zhang, Jie;  Zhang, Yongqing 收藏  |  浏览/下载：16/0  |  提交时间：2019/12/02 Concept factorization  feature selection  local constraint  clustering l(2,1)-norm  row sparsity   A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks 期刊论文 NEURAL PROCESSING LETTERS, 2018, 卷号: 48, 页码: 955-978 作者:  Li, Wenyu;  Liu, Yan;  Yang, Jie;  Wu, Wei 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02 Feedforward neural networks  Conjugate gradient method  Modified secant equation  Regularization  Global convergence   Smooth group L-1/2 regularization for input layer of feedforward neural networks 期刊论文 NEUROCOMPUTING, 2018, 卷号: 314, 页码: 109-119 作者:  Li, Feng;  Zurada, Jacek M.;  Wu, Wei 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 Feedforward neural network  Input layer compression  Feature selection  Smooth group L-1/2 regularization  Convergence   SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION 期刊论文 NEURAL NETWORK WORLD, 2018, 卷号: 28, 页码: 133-147 作者:  Li, F.;  Zurada, J. M.;  Wu, W. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 autoencoder  sparse representation  unsupervised feature learning  deep network  L-1/2 regularization   The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. 期刊论文 Neural networks : the official journal of the International Neural Network Society, 2018, 卷号: 103, 页码: 19-28 作者:  Zhao J.;  Zurada J.M.;  Yang J.;  Wu W. 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/02 Spiking neural networks  SpikeProp  Smoothing L-1/2 regularization  Convergence  Sparsity   A pseudo-heuristic parameter selection rule for l(1)-regularized minimization problems 期刊论文 JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2018, 卷号: 333, 页码: 1-19 作者:  Li, Chong-Jun;  Zhong, Yi-Jun 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/02 Regularization parameter  l(1)-regularized  Sparse recovery  De Boor's rule