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Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5285-5299
作者:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang
收藏  |  浏览/下载：140/0  |  提交时间：2021/04/26
Biological system modeling  Data models  Biological neural networks  Predictive models  Neurons  Mathematical model  Complex-valued external criterion  complex-valued group method of data handling (GMDH)-type neural network  parameter estimation  real-valued classification  
Exploring firms' innovation capabilities through learning systems 期刊论文
NEUROCOMPUTING, 2020, 卷号: 409, 页码: 27-34
作者:  Li, Yawen;  Wang, Xiaoyang;  Chen, Chengcai;  Jing, Changyuan;  Wu, Tian
收藏  |  浏览/下载：190/0  |  提交时间：2020/10/12
Machine learning  Innovation input capability  Collaborative innovation capability  Innovation performance  XGBoost  GBDT  
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8
作者:  Xiong, Jiankang;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
收藏  |  浏览/下载：176/0  |  提交时间：2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
作者:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
收藏  |  浏览/下载：165/0  |  提交时间：2020/09/23
Rumor detection  Spatial-temporal structure learning  
Knowledge-driven business model innovation through the introduction of equity investment: evidence from China's primary market 期刊论文
JOURNAL OF KNOWLEDGE MANAGEMENT, 2020, 页码: 18
作者:  Zheng, Jiali;  Qiao, Han;  Zhu, Xiumei;  Wang, Shouyang
收藏  |  浏览/下载：158/0  |  提交时间：2020/09/23
Business model innovation  Equity investment  China's primary market  Logistic regression  Back propagation neural network (BPNN)  
Construction of new generalizations of Wynn's epsilon and rho algorithm by solving finite difference equations in the transformation order 期刊论文
NUMERICAL ALGORITHMS, 2020, 卷号: 83, 期号: 2, 页码: 593-627
作者:  Chang, Xiang-Ke;  He, Yi;  Hu, Xing-Biao;  Sun, Jian-Qing;  Weniger, Ernst Joachim
收藏  |  浏览/下载：133/0  |  提交时间：2020/05/24
Convergence acceleration algorithm  Sequence transformation  Epsilon algorithm  Rho algorithm