Suchergebnisse - adaptive batch normalization algorithm

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

“… They, however, may suffer from time-consuming and low versatility. In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN …”
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Ball Screw Fault Diagnosis Based on Wavelet Convolution Transfer Learning von 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 von Qin, Huabin, Liu, Mingliang, Wang, Jian, Guo, Zijian, Liu, Junbo

“… However, the other disadvantages of these methods are low efficiency and poor accuracy. To address these problems, a new adaptive and intelligent mechanical fault diagnosis method for DC motors based on variational mode decomposition (VMD …”
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A Migration Learning Method Based on Adaptive Batch Normalization Improved Rotating Machinery Fault Diagnosis von 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 New Adaptive Intelligent DC motors Fault Diagnosis System Using R-WDCNN Classifier von 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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A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis von Wang, Yu, Ning, Dejun, Feng, Songlin

“… In addition, the adaptive batch normalization (AdaBN) algorithm is introduced to further enhance the adaptability of WMSCCN …”
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A Novel Fault Diagnosis Method Under Dynamic Working Conditions Based on a CNN With an Adaptive Learning Rate von Zhai, Xiaodong, Qiao, Fei, Ma, Yumin, Lu, Hong

“… This article studies a new adaptive fault diagnosis (AdaFD) scheme and proposes a deep learning-based model and algorithm to enhance both the timeliness of fault diagnosis and its adaptability to dynamic conditions …”
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Instance Segmentation Based on Improved Self-Adaptive Normalization von Yang, Sen, Wang, Xiaobao, Yang, Qijuan, Dong, Enzeng, Du, Shengzhi

“… The single batch normalization (BN) method is commonly used in the instance segmentation algorithms …”
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A Lightweight Automatic Wildlife Recognition Model Design Method Mitigating Shortcut Learning von Zhong, Yujie, Li, Xiao, Xie, Jiangjian, Zhang, Junguo

“… Recognizing wildlife based on camera trap images is challenging due to the complexity of the wild environment. Deep learning is an optional approach to solve …”
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Neural Networks With Linear Adaptive Batch Normalization and Swarm Intelligence Calibration for Real‐Time Gaze Estimation on Smartphones von Zhu, Gancheng, Li, Yongkai, Zhang, Shuai, Duan, Xiaoting, Huang, Zehao, Yao, Zhaomin, Wang, Rong, Wang, Zhiguo

“… The MGazeNet model introduced a linear adaptive batch normalization module to efficiently combine eye and face …”
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Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer von 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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Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization von Xu, Lichao, Xu, Minpeng, Ma, Zhen, Wang, Kun, Jung, Tzyy-Ping, Ming, Dong

“… ). However, current TL and DL algorithms are usually validated within a single dataset, assuming that data of the test subjects are acquired under the same condition as that of training (source) subjects …”
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An accurate lightweight algorithm for bearings fault diagnosis based on DPW ATTCNN model von Li, Yongfei

“… The DPW ATTCNN model is improved based on the Adaptive Batch Normalization …”
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An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring von Gao, Zhilie, Chen, Ni, Yang, Yinfei, Li, Liang

“… (Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning). In the MS-LARODTL algorithm, a lightweight convolution layer design is initially adopted, resulting in a reduction of 86.64 …”
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LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG von Liao, Yiqiao, Zhang, Chao, Zhang, Milin, Wang, Zhihua, Xie, Xiang

“… This brief proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which …”
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SlimDL: Deploying ultra-light deep learning model on sweeping robots von Sun, Xudong, Wang, Yu, Liu, Zhanglin, Gao, Shaoxuan, He, Wenbo, Tong, Chao

“… Additionally, we present a pruning algorithm, employing adaptive batch normalization and iterative pruning. Our evaluation …”
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LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG von Liao, Yiqiao, Zhang, Chao, Zhang, Milin, Wang, Zhihua, Xie, Xiang

“… This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which …”
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Adaptive Scaling Filter Pruning Method for Vision Networks With Embedded Devices von Ko, Hyunjun, Kang, Jin-Ku, Kim, Yongwoo

“… because it only performs pruning once on the unpruned network. Therefore, in this paper, we utilize a single learning process and propose an adaptive scaling method …”
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A Fast Inversion of Induction Logging Data in Anisotropic Formation Based on Deep Learning von Zhu, Gaoyang, Gao, Muzhi, Kong, Fanmin, Li, Kang

“… A deep neural network (DNN) architecture combined with an adaptive moment estimation (Adam) optimization algorithm is utilized …”
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The Neural Network of One-Dimensional Convolution-An Example of the Diagnosis of Diabetic Retinopathy von Sun, Yunlei

“… Diabetes is a serious threat to health development, because diabetes is a disease that caused most other diseases (complications). Diabetic retinopathy is the …”
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