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ORCIDNeurocomputing, Volume 361
Volume 361, October 2019
- Xinxin Zhang, Peifeng Niu, Xiaobin Hu
, Yunpeng Ma, Guoqiang Li:
Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. 1-9 - Tong Wu, Yicang Zhou, Yanni Xiao, Deanna Needell, Feiping Nie:
Modified fuzzy clustering with segregated cluster centroids. 10-18 - Kaixiang Peng, Ruihua Jiao, Jie Dong, Yanting Pi:
A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter. 19-28 - Qi Li, Zehong Cao, Jiang Zhong, Qing Li:
Graph representation learning with encoding edges. 29-39 - Huihui Shen, Hongwei Li:
A gradient approximation algorithm based weight momentum for restricted Boltzmann machine. 40-49 - Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. 50-68 - Jiang Zhang, Yuanqing Xia, Ganghui Shen:
A novel learning-based global path planning algorithm for planetary rovers. 69-76 - Hongyang Li, Junfeng Zhang, Xiao He:
Design of data-injection attacks for cyber-physical systems based on Kullback-Leibler divergence. 77-84 - Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng:
DOG: A new background removal for object recognition from images. 85-91 - Xiao-Wei Zhang, Huai-Ning Wu:
Mixed H2/H∞ stabilization design for memristive neural networks. 92-99 - Huang Huang, Li-Qian Zhou, Yutong Lu, Tong Xiao, Can Leng, Chuanying Li, Zhe Quan:
An efficient real-time data collection framework on petascale systems. 100-109 - Fangfang Zhang, Kai Sun, Xiuliang Wu:
A novel variable selection algorithm for multi-layer perceptron with elastic net. 110-118 - Bahare Kiumarsi, Bakur AlQaudi, Hamidreza Modares, Frank L. Lewis, Daniel S. Levine:
Optimal control using adaptive resonance theory and Q-learning. 119-125 - Ce Wang, Zhangling Chen, Kun Shang, Huaming Wu:
Label-removed generative adversarial networks incorporating with K-Means. 126-136 - Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Gavin Brown:
Hybrid extreme learning machine approach for heterogeneous neural networks. 137-150 - Ümit Çavus Büyüksahin, Seyda Ertekin:
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition. 151-163 - Meiqin Guo, Jianmin Jiang:
A robust deep style transfer for headshot portraits. 164-172 - Jie Chen, ZhongCheng Wu, Jun Zhang:
Mutual information-based dropout: Learning deep relevant feature representation architectures. 173-184 - Fan Zhang, Zhenzhen Li, Boyan Zhang, Haishun Du, Binjie Wang, Xinhong Zhang:
Multi-modal deep learning model for auxiliary diagnosis of Alzheimer's disease. 185-195 - Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro:
Regularized ensemble neural networks models in the Extreme Learning Machine framework. 196-211 - Adamu Ali-Gombe, Eyad Elyan:
MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network. 212-221 - Hong Chen, Han Li, Zhibin Pan:
Error analysis of distributed least squares ranking. 222-228 - Xin Huang, Jiuxiang Dong:
Reliable control of cyber-physical systems under sensor and actuator attacks: An identifier-critic based integral sliding-mode control approach. 229-242 - Derui Ding, Zifan Ding, Guoliang Wei, Fei Han:
An improved reinforcement learning algorithm based on knowledge transfer and applications in autonomous vehicles. 243-255 - Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li, Zhenwen Ren:
Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification. 256-269
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