Výsledky vyhľadávania - improved stacked sparse denoising autoencoder

Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine Autor Zhou, Yaluo, Zhang, Shaochuan, Liu, Wenguang, Zhang, Ruicheng

“… proposes a flatness recognition method based on stack sparse denoising autoencoder (SSDAE) with improved Osprey optimisation algorithm kernel-extreme learning machine…”
Získať plný text

Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance Autor Xiao, Fei, Lu, Tianguang, Wu, Mingli, Ai, Qian

“… Then, an improved stacked sparse denoising autoencoder combined with supervised backpropagation training is proposed as a robust classifier. Results show that the proposed method is suitable for detecting various types of PQ disturbances and possesses high recognition accuracy despite insufficient training samples…”
Získať plný text

Learning social representations with deep autoencoder for recommender system Autor Pan, Yiteng, He, Fazhi, Yu, Haiping

“… Based on the intuition that users are influenced by their social friends, these methods are capable of addressing the data sparse problem and improving the performance of recommender systems…”
Získať plný text

K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder Autor Bi, Yandong, Wang, Peng, Guo, Xuchao, Wang, Zhijun, Cheng, Shuhan

“… How to speed up training is a problem deserving of study. In order to accelerate training, K-means clustering optimizing deep stacked sparse autoencoder (K-means sparse SAE…”
Získať plný text

Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder Autor Fan, Zunlin, Bi, Duyan, He, Linyuan, Shiping, Ma, Gao, Shan, Li, Cheng

“… In this paper, we propose a novel low-level structure feature extraction for image processing based on deep neural network, stacked sparse denoising autoencoder (SSDA…”
Získať plný text

Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder Autor Lu, Jizhao, Meng, Huiping, Li, Wencui, Liu, Yue, Guo, Yihao, Yang, Yang

“… identify and classify network intrusion data, this paper proposes a Contractive Sparse Stack Denoising Autoencoder(CSSDAE…”
Získať plný text

M-ary Phase Position Shift Keying Demodulation Using Stacked Denoising Sparse Autoencoders Autor Lu, Conghui, Chen, Peng, Zhong, Hua, Wang, Mengyuan

“… The major components of this detector include a special impact filter, a stacked denoising sparse autoencoder (DSAE…”
Získať plný text

Accurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model Autor Li, Ying, Zhang, Xingyu, Chen, Zhuo, Yang, Hongye, Liu, Yuhui, Wang, Huiqing, Yan, Ting, Xiang, Jie, Wang, Bin

“… Computational methods have significantly improved the efficiency of experimental predictions for drug-target interactions in Western medicine…”
Získať plný text

COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter Autor Guo, Shuli, Wang, Guowei, Han, Lina, Song, Xiaowei, Yang, Wentao

“…CT image of COVID-19 is disturbed by impulse noise during transmission and acquisition. Aiming at the problem that the early lesions of COVID-19 are not…”
Získať plný text

Deep-Learning-Enabled Security Issues in the Internet of Things Autor Lv, Zhihan, Qiao, Liang, Li, Jinhua, Song, Houbing

“…), stacked contractive autoencoder (SCAE), stacked sparse autoencoder (SSAE), deep belief network (DBN…”
Získať plný text

Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques Autor Prabhakar, Sunil Kumar, Lee, Seong-Whan

Získať plný text

Cross-Domain Recommendations via Aspect Sentiment Feature Extraction Using Large Language Models (CRAS-LLM) Autor Zeeshan, Muhammad Zohaib

“…Cross-domain recommendation systems (CDRS) are designed to suggest products from one domain to another by analyzing data (i.e., user reviews) across multiple…”
Získať plný text