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	Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator 期刊论文 CHAOS SOLITONS & FRACTALS, 2022, 卷号: 165, 页码: 14 作者: Zhong, Ming; Yan, Zhenya 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/02/07 Integrable fractional nonlinear wave equations Fourier neural operator Deep learning Data-driven soliton mapping Activation function Channel of fully-connected layer
	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：44/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	Recognition of weld defects from X-ray images based on improved convolutional neural network 期刊论文 Multimedia Tools and Applications, 2022, 卷号: 81, 期号: 11, 页码: 15085-15102 作者: Hu, Ande; Wu, Lijian; Huang, Jiankang; Fan, Ding; Xu, Zhenya 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/06/20 Chemical activation Convolution Convolutional neural networks Defects Image enhancement Image segmentation Processing Welds Activation functions Convolution neural network Convolutional neural network Exponential linear unit function Exponentials Linear units Pooling Unit functions Weld defects Weld defects recognition
	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 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/08/01 Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning
	Control the collective behaviors in a functional neural network 期刊论文 Chaos, Solitons and Fractals, 2021, 卷号: 152 作者: Yao, Zhao; Wang, Chunni 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/02/17 Chemical activation Electric fields Electrophysiology Magnetic fields Neural networks Neurons Piezoelectric ceramics Pumps Energy Field coupling Field energy Firing modes Functional network Induction coils Magnetic field coupling Magnetic-field Neural circuits Phase synchronization
	PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid 期刊论文 APPLIED INTELLIGENCE, 2021, 页码: 13 作者: Ying, Yao; Zhang, Nengbo; Shan, Peng; Miao, Ligang; Sun, Peng 收藏 \| 浏览/下载：52/0 \| 提交时间：2021/05/06 Activation function Sigmoid Parametric sigmoid Squeeze-and-excitation Convolutional neural network
	Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文 FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11 作者: Wang, Jiaxing; Wang, Weiqun; Ren, Shixin; Shi, Weiguo; Hou, Zeng-Guang 收藏 \| 浏览/下载：49/0 \| 提交时间：2021/01/06 human-in-the-loop optimization EEG based neural engagement sEMG based muscle activation tracking accuracy neural rehabilitation
	Food cue recruits increased reward processing and decreased inhibitory control processing in the obese/overweight: An activation C likelihood estimation meta-analysis of fMRI studies 期刊论文 OBESITY RESEARCH & CLINICAL PRACTICE, 2020, 卷号: 14, 期号: 2, 页码: 127-135 作者: Meng, Xia; Huang, Duo; Ao, Hua; Wang, Xinyu; Gao, Xiao 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/06/21 obese/overweight Visual food cues Neural activation Reward processing Inhibitory control
	X-ray image defect recognition method for pipe weld based on improved convolutional neural network 期刊论文 Hanjie Xuebao/Transactions of the China Welding Institution, 2020, 卷号: 41, 期号: 1, 页码: 7-11 作者: Fan, Ding; Hu, Ande; Huang, Jiankang; Xu, Zhenya; Xu, Xu 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/11/14 Chemical activation Convolution Convolutional neural networks Defects Extraction Feature extraction Image enhancement Image recognition Pixels Welds Activation functions Convolution neural network Local information Network parameters Recognition accuracy Region of interest Saturation region Segmentation algorithms
	Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 176, 页码: 61-68 作者: Lu, Hongbin; Li, Lishuang; He, Xinyu; Liu, Yang; Zhou, Anqiao 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Natural language processing Recurrent neural networks Granular attention mechanism Chemical-protein interactions extraction Swish activation function

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