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Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 10, 页码: 5583-5598
Authors:  Liu, Ao;  Li, Peng;  Sun, Weiliang;  Deng, Xudong;  Li, Weigang;  Zhao, Yuntao;  Liu, Bo
Favorite  |  View/Download:1/0  |  Submit date:2020/06/30
Neural networks  Water wave optimization  Meta-Lamarckian learning  Prediction of mechanical properties  
Interval forecasting of exchange rates: a new interval decomposition ensemble approach 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 28
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:2/0  |  Submit date:2020/05/24
Exchange rate forecasting  Interval-valued data  Autoregressive model  Neural networks  Bivariate empirical mode decomposition  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
Authors:  Cao, Zhen;  Zhang, Shihua
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DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction  
Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 27, 期号: 2, 页码: 379-411
Authors:  Li, Bo;  Tang, Shanshan;  Yu, Haijun
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Deep neural network  high dimensional approximation  sparse grids  rectified linear unit  rectified power unit  rectified quadratic unit  
Building quantum neural networks based on a swap test 期刊论文
PHYSICAL REVIEW A, 2019, 卷号: 100, 期号: 1, 页码: 9
Authors:  Zhao, Jian;  Zhang, Yuan-Hang;  Shao, Chang-Peng;  Wu, Yu-Chun;  Guo, Guang-Can;  Guo, Guo-Ping
Favorite  |  View/Download:9/0  |  Submit date:2020/01/10
QUANTUM SPEEDUP OF TRAINING RADIAL BASIS FUNCTION NETWORKS 期刊论文
QUANTUM INFORMATION & COMPUTATION, 2019, 卷号: 19, 期号: 7-8, 页码: 609-625
Authors:  Shao, Changpeng
Favorite  |  View/Download:7/0  |  Submit date:2020/01/10
quantum algorithm  quantum machine learning  radial basis function network  
OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
Authors:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan
Favorite  |  View/Download:9/0  |  Submit date:2019/12/13
Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization  
Fast variational quantum algorithms for training neural networks and solving convex optimizations 期刊论文
PHYSICAL REVIEW A, 2019, 卷号: 99, 期号: 4, 页码: 10
Authors:  Shao, Changpeng
Favorite  |  View/Download:8/0  |  Submit date:2020/01/10
A Semisupervised Classification Approach for Multidomain Networks With Domain Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 269-283
Authors:  Chen, Chuan;  Xin, Jingxue;  Wang, Yong;  Chen, Luonan;  Ng, Michael K.
Favorite  |  View/Download:14/0  |  Submit date:2019/03/05
Domain selection  multidomain classification  network integration  semisupervised learning  sparsity  
Interval decomposition ensemble approach for crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2018, 卷号: 76, 页码: 274-287
Authors:  Sun, Shaolong;  Sun, Yuying;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:12/0  |  Submit date:2019/03/05
Bivariate empirical mode decomposition  Crude oil price forecasting  Interval-valued time series  Interval Holt's method  Interval neural networks