Výsledky vyhledávání - stacking denoising sparse autoencoder*

A neural convolutional network intrusion detection model based on autoencoder dimension reduction Autor 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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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier Autor 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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Research of stacked denoising sparse autoencoder Autor 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 Autor 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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A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features Autor 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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Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing Autor 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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Path Planning Method Combining Depth Learning and Sarsa Algorithm Autor 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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Enhancing Border Learning for Better Image Denoising Autor 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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Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model Autor 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 Autor 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 Autor 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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