Suchergebnisse - stacking denoising sparse autoencoder

Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier von Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“… This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked spare-denoising autoencoder (SSDAE …”
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A neural convolutional network intrusion detection model based on autoencoder dimension reduction von Sun, Jing, Ding, Jiawei, Feng, Guanghui

“… models.In IRFD,the stacking denoising sparse autoencoder was employed to reduce the dimensionality of fea-tures and extract effective …”
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Research of stacked denoising sparse autoencoder von Meng, Lingheng, Ding, Shifei, Zhang, Nan, Zhang, Jian

“… In order to present data more efficiently and study how to express data through deep networks, we propose a novel stacked denoising sparse autoencoder in this paper …”
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Building feature space of extreme learning machine with sparse denoising stacked-autoencoder von Cao, Le-le, Huang, Wen-bing, Sun, Fu-chun

“… Beyond simply learning features by stacking autoencoders (AE), there is a need for increasing its robustness to noise and reinforcing the sparsity of weights to make it easier to discover interesting and prominent features …”
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Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing von Zhang, Junling, Chen, Zhigang, Du, Xiaolei, Xu, Xu, Yu, Miao

“… For this special working environment, this study proposes a rolling bearing fault diagnosis method based on stack marginalised sparse denoising auto-encoder (SDAE …”
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A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features von Zhang, Huaguang, Wang, Lei, Wang, Jianfeng, Zuo, Fengyuan, Wang, Jifeng, Liu, Jinhai

“… problems effectively under complicated conditions. First, an adaptive abstract defect feature extraction network with stacked multipath denoising sparse autoencoder (sMPDS-AE …”
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Enhancing Border Learning for Better Image Denoising von Ge, Xin, Zhu, Yu, Qi, Liping, Hu, Yaoqi, Sun, Jinqiu, Zhang, Yanning

“… Deep neural networks for image denoising typically follow an encoder–decoder model, with convolutional (Conv …”
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Path Planning Method Combining Depth Learning and Sarsa Algorithm von Xu, Dong, Fang, Yicheng, Zhang, Ziying, Meng, Yulong

“… This paper proposes a method to combine the algorithm of Stacking Denoising AutoEncoders, Extract real-time environmental features by stack denoising sparse autoencoders …”
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Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model von Gu, Zhengmin, Guo, Lang, Huang, Jie, Xiao, Dong, Ke, Yan, Zhang, Ye

“… (HIS) data in hospital to enable detection of anomalous registration behavior. First, Sparse Principal Component Analysis (Sparse PCA …”
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Greedy deep transform learning von Maggu, Jyoti, Majumdar, Angshul

“… Experiments have been carried out with other deep representation learning tools - deep dictionary learning, stacked denoising autoencoder, deep belief network and PCANet …”
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一种基于自编码器降维的神经卷积网络入侵检测模型 von 孙敬, 丁嘉伟, 冯光辉

“… 为了提升入侵检测的准确率，鉴于自编码器在学习特征方面的优势以及残差网络在构建深层模型方面的成熟应用，提出一种基于特征降维的改进残差网络入侵检测模型（improved …”
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