Search Results - conventional denoising autoencoder-conventional neural network

Robust inverse-design of scattering spectrum in core-shell structure using modified denoising autoencoder neural network by Hu, Baiqiang, Wu, Bei, Tan, Dong, Xu, Jing, Chen, Yuntian

“… circumstances that the exact target response may not exist. We introduce a modified denoising autoencoder network to ensure the robustness of neural network-based inverse design, which consists of (1…”
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Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder by Lin, You, Wang, Jianhui, Cui, Mingjian

“… Trained with LSTM networks, the EDAE is more effective in coping with big data in power systems and obtains a better performance than the neural network in conventional Denoising Autoencoder…”
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State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network by Chen, Junxiong, Feng, Xiong, Jiang, Lin, Zhu, Qiao

“… processing method with the conventional gated recurrent unit recurrent neural network (GRU-RNN) method. First, a denoising autoencoder neural network…”
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Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines by Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei

“…•The denoising autoencoder integrated with convolutional neural network has good signal denoising ability…”
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Efficient deep-learning-based history matching for fluvial channel reservoirs by Jo, Suryeom, Jeong, Hoonyoung, Min, Baehyun, Park, Changhyup, Kim, Yeungju, Kwon, Seoyoon, Sun, Alexander

“…: convolutional autoencoder (CAE), convolutional neural network (CNN), and convolutional denoising autoencoder (CDAE…”
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ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks by Wang, Kuan-Chen, Liu, Kai-Chun, Peng, Sheng-Yu, Tsao, Yu

“…). The proposed method adopts a denoise autoencoder structure and powerful nonlinear mapping capability of neural networks for sEMG denoising…”
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A Deep Learning Framework for Denoising MRI Images using Autoencoders by Zein, Mohammad El, Laz, Wissam El, Laza, Malak, Wazzan, Taha, Kaakour, Ibrahim, Adla, Yasmine Abu, Baalbaki, Jad, Diab, Mohammad O., Sabbah, Maher, Zantout, Rached

“… Our model comprises a convolutional neural network autoencoder (CCNAE), which we fine-tuned by testing different…”
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Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder by Lin, You, Wang, Jianhui, Cui, Mingjian

“… Trained with LSTM networks, the EDAE is more effective in coping with big data in power systems and obtains a better performance than the neural network in conventional Denoising Autoencoder…”
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An Improved Method for Speech Enhancement Using Convolutional Neural Network Approach by T N, Mahesh Kumar, Hegde, Pradyoth, K T, Deepak, Narasimhadhan, A V

“… In this work, the speech enhancement technique using a Convolutional Neural Network(CNN) as Denoising Autoencoders (DAEs…”
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Uniforming the dimensionality of data with neural networks for materials informatics by Ohno, Hiroshi

“…•The proposed method outperformed the conventional methods (the multi-layer autoencoder, the denoising autoencoder, and kernel PCA…”
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Bayesian Deep Neural Network to Compensate for Current Transformer Saturation by Key, Sopheap, Kang, Sang-Hee, Lee, Nam-Ho, Nam, Soon-Ryul

“…) comprising Deep Neural Network (DNN) and Bayesian optimization (BO). DNN, that utilizes stacked denoising autoencoder (SDAE…”
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Deep learning methods for multiband explosive hazard detection using L-band and X-band forward-looking ground-penetrating radar by Becker, John T

“… (SDAEs), and convolutional neural networks (CNNs). We also compare these deep learning classifiers with two more conventional shallow learning classifiers…”
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Lifted Bregman Training of Neural Networks by Wang, Xiaoyu, Benning, Martin

“…We introduce a novel mathematical formulation for the training of feed-forward neural networks…”
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ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks by Kuan-Chen, Wang, Kai-Chun, Liu, Sheng-Yu, Peng, Tsao, Yu

“…). The proposed method adopts a denoise autoencoder structure and powerful nonlinear mapping capability of neural networks for sEMG denoising…”
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