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| Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341 作者: Zhiming Zhang; Shangce Gao; MengChu Zhou; Mengtao Yan; Shuyang Cao
Adobe PDF(7172Kb)  |   收藏  |  浏览/下载:31/11  |  提交时间:2024/05/22 Convolutional neural network deep learning recurrent neural network turbulence prediction wind load prediction |
| An Overview of Finite/Fixed-Time Control and Its Application in Engineering Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2106-2120 作者: Yang Liu; Hongyi Li; Zongyu Zuo; Xiaodi Li; Renquan Lu
Adobe PDF(2215Kb)  |   收藏  |  浏览/下载:249/105  |  提交时间:2022/12/02 Adding a power integrator finite/fixed-time control and application homogeneous theory sliding mode control |
| Complex-Valued Neural Networks: A Comprehensive Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426 作者: ChiYan Lee; Hideyuki Hasegawa; Shangce Gao
Adobe PDF(1612Kb)  |   收藏  |  浏览/下载:220/50  |  提交时间:2022/08/01 Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning |
| Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1049-1060 作者: Mariana Ballesteros; Rita Q. Fuentes-Aguilar; Isaac Chairez
Adobe PDF(5961Kb)  |   收藏  |  浏览/下载:172/46  |  提交时间:2022/05/30 Exponential Lyapunov functions learning laws non-parametric identifier predefined convergence rate |
| Aerodynamic Effects Compensation on Multi-Rotor UAVs Based on a Neural Network Control Allocation Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 295-312 作者: Sarah P. Madruga; Augusto H. B. M. Tavares; Saulo O. D. Luiz; Tiago P. do Nascimento; Antonio Marcus N. Lima
Adobe PDF(10011Kb)  |   收藏  |  浏览/下载:213/37  |  提交时间:2021/11/03 Aerodynamics effects control allocation minidrone multi-rotor UAV neural networks |
| Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 99-110 作者: Yang Yu ; Zhenyu Lei; Yirui Wang; Tengfei Zhang; Chen Peng ; Shangce Gao
Adobe PDF(4567Kb)  |   收藏  |  浏览/下载:252/51  |  提交时间:2021/11/03 Artificial neuron networks (ANNs) dendrite neuron network differential evolution (DE) scale-free network |
| Generative Adversarial Network Based Heuristics for Sampling-Based Path Planning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 64-74 作者: Tianyi Zhang; Jiankun Wang; Max Q.-H. Meng
Adobe PDF(19604Kb)  |   收藏  |  浏览/下载:239/45  |  提交时间:2021/11/03 Generative adversarial network (GAN) optimal path planning robot path planning sampling-based path planning |
| ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1015-1024 作者: Xiurui Hou; Kai Wang; Cheng Zhong; Zhi Wei
Adobe PDF(18247Kb)  |   收藏  |  浏览/下载:175/21  |  提交时间:2021/04/09 Graph convolution network long-short term memory network stock market forecasting variational autoencoder (VAE) |
| A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 94-109 作者: Yirui Wang; Shangce Gao; Mengchu Zhou; Yang Yu![](/image/person.jpg)
Adobe PDF(1938Kb)  |   收藏  |  浏览/下载:277/51  |  提交时间:2021/04/09 Artificial intelligence exploration and exploitation gravitational search algorithm hierarchical interaction hierarchy machine learning population structure |
| Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural Nets 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 735-744 作者: Guangyuan Pan; Liping Fu; Qili Chen; Ming Yu; Matthew Muresan
浏览  |   Adobe PDF(5371Kb)  |   收藏  |  浏览/下载:183/37  |  提交时间:2021/03/11 Deep learning deep neural network (DNN) feature importance road safety performance function |