Search Results - "Batch normalization algorithm"

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Fu, Chao, Lin, Hsiung-Cheng, Lv, Qing

“…It is crucial to carry out the fault diagnosis of rotating machinery by extracting the features that contain fault information. Many previous works using a…”
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Ball Screw Fault Diagnosis Based on Wavelet Convolution Transfer Learning by Xie, Yifan, Liu, Chang, Huang, Liji, Duan, Hongchun

“…The ball screw is the core component of the CNC machine tool feed system, and its health plays an important role in the feed system and even in the entire CNC…”
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Adaptive diagnosis of DC motors using R-WDCNN classifiers based on VMD-SVD by Qin, Huabin, Liu, Mingliang, Wang, Jian, Guo, Zijian, Liu, Junbo

“…Traditional fault diagnosis methods of DC (direct current) motors require high expertise and human labor. However, the other disadvantages of these methods are…”
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A retrieval algorithm for encrypted speech based on convolutional neural network and deep hashing by Zhang, Qiu-yu, Li, Yu-zhou, Hu, Ying-jie

“… The batch normalization algorithm is introduced in the training process, which improves…”
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A New Adaptive Intelligent DC motors Fault Diagnosis System Using R-WDCNN Classifier by Xie, Yonghui, Qin, Huabin, Yin, Haihong, Hou, Xujie

“…). Utilizing residual learning techniques, this method adeptly identifies and classifies four distinct types of vibrational signals and is fine-tuned through an adaptive batch normalization algorithm (AdaBN…”
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Integrated Artificial Neural Network with Trainable Activation Function Enabled by Topological Insulator-Based Spin–Orbit Torque Devices by Huang, Puyang, Liu, Xinqi, Xin, Yue, Gu, Yu, Lee, Albert, Zhang, Yifan, Xu, Zhuo, Chen, Peng, Zhang, Yu, Deng, Weijie, Yu, Guoqiang, Wu, Di, Liu, Zhongkai, Yao, Qi, Yang, Yumeng, Zhu, Zhifeng, Kou, Xufeng

“…Nonvolatile memristors offer a salient platform for artificial neural network (ANN), yet the integration of different function and algorithm blocks into one…”
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Pseudo high-frequency boosts the generalization of a convolutional neural network for cassava disease detection by Zhang, Jiayu, Qi, Chao, Mecha, Peter, Zuo, Yi, Ben, Zongyou, Liu, Haolu, Chen, Kunjie

“…Frequency is essential in signal transmission, especially in convolutional neural networks. It is vital to maintain the signal frequency in the neural network…”
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Rolling Bearing Fault Diagnosis Method Based on Attention CNN and BiLSTM Network by Guo, Yurong, Mao, Jian, Zhao, Man

“… network, and the batch normalization algorithm is used to improve the stability of the data distribution…”
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Intelligent fault diagnosis of planetary gearbox based on adaptive normalized CNN under complex variable working conditions and data imbalance by Wang, Chaoge, Li, Hongkun, Zhang, Kongliang, Hu, Shaoliang, Sun, Bin

“…•A novel ANCNN model is developed to accurately diagnose planetary gearbox fault.•TCO-spectrum is applied to avoid the influences of variable speed and…”
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A Migration Learning Method Based on Adaptive Batch Normalization Improved Rotating Machinery Fault Diagnosis by Li, Xueyi, Yu, Tianyu, Li, Daiyou, Wang, Xiangkai, Shi, Cheng, Xie, Zhijie, Kong, Xiangwei

“… To overcome this issue, this paper proposes a bearing fault diagnosis method based on the adaptive batch normalization algorithm, which aims to enhance the generalization ability of the model…”
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A lightweight deep learning model for cattle face recognition by Li, Zheng, Lei, Xuemei, Liu, Shuang

“…•A novel lightweight deep learning CNN model is proposed for cattle face recognition.•Method for automatically processing datasets is proposed.•Our proposed…”
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An Improved Convolutional Neural Network-Based Scene Image Recognition Method by Wang, Pinhe, Qiao, Jianzhong, Liu, Nannan

“…To solve the problems existing in the research of scene recognition, this paper studies a new convolutional neural network target detection model to achieve a…”
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An empirical study on optimizing binary spiking neural networks for neuromorphic computing by He, Ping, Xiao, Rong, Tang, Chenwei, Huang, Shudong, Lv, Jiancheng

“…Spiking neural networks process information using asynchronous spikes between neurons, making them ideal for handling spatiotemporal data from neuromorphic…”
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Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold by Kobler, Reinmar J., Hirayama, Jun-ichiro, Kawanabe, Motoaki

“… In this work, we extend upon previous works and propose a batch normalization algorithm for the SPD manifold that can be readily combined with SPD neural networks and unlike previous works controls…”
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A robust inversion of logging-while-drilling responses based on deep neural network by Zhu, Gaoyang, Gao, Muzhi, Wang, Bin

“… Besides, the batch normalization algorithm is utilized to solve the problem of gradient disappearing in the training process…”
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Clinical Efficacy Evaluation of Psychological Nursing Intervention Combined with Drugs Treatment of Children with ADHD under Artificial Intelligence by Guo, Ying, Wang, Jinping, Yan, Shuyan, Sui, Shujie

“…ADHD in children is one of the most common neurodevelopmental disorders. It is manifested as inattention, hyperactivity, impulsiveness, and other symptoms that…”
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An Improved CNN-Based Apple Appearance Quality Classification Method With Small Samples by Sun, Li, Liang, Kaibo, Song, Yanxing, Wang, Yuzhi

“…Apple quality classification is an important means to refine apple sales market and promote apple sales. At present, most of classification methods based on a…”
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Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer by Li, Shijie, Jiang, Shouda, Gao, Tianyu, Yang, Jingli, Tang, Qing

“… Moreover, an adaptive batch normalization algorithm (AdaBN) is introduced into the diagnosis model to enhance the adaptability to noise…”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Yao, Mingqi

“… neural network and wavelet transform, which adopts residual neural network structure and batch normalization…”
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Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification by Li, Chenming, Yang, Yao, Lin, Shuo, Gao, Hongmin, Yang, Mingxiang

“… Furthermore, a batch normalization algorithm (BN) is introduced to address internal covariate shifts caused by changes in the distribution of input data and expedite the training of the network…”
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