z-logo
open-access-imgOpen Access
A Method for Detecting Abnormal Data of Network Nodes Based on Convolutional Neural Network
Author(s) -
Xianhao Shen Xianhao Shen,
Changhong Zhu Xianhao Shen,
Yihao Zang Changhong Zhu,
Shaohua Niu Yihao Zang
Publication year - 2022
Publication title -
diànnǎo xuékān/diannao xuekan
Language(s) - English
Resource type - Journals
eISSN - 2312-993X
pISSN - 1991-1599
DOI - 10.53106/199115992022063303004
Subject(s) - convolutional neural network , computer science , anomaly detection , convolution (computer science) , reliability (semiconductor) , artificial neural network , node (physics) , pattern recognition (psychology) , wireless sensor network , artificial intelligence , deep learning , data mining , computer network , engineering , power (physics) , physics , structural engineering , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here