Computer Fault Diagnosis System Based on Artificial Intelligence
M Yi - Revista Ibérica de Sistemas e Tecnologias de …, 2015 - search.proquest.com
With the development of computer network technology and its applications, its security also
receives much concern, and the discovery, diagnosis and treatment of computer failures is …
receives much concern, and the discovery, diagnosis and treatment of computer failures is …
Automatic fault diagnosis of computer networks based on a combination BP neural network and fuzzy logic
Today, computer network fault diagnosis is one of the key challenges experts are facing in
the field of computer networks. Therefore, achieving an automatic diagnosis system which is …
the field of computer networks. Therefore, achieving an automatic diagnosis system which is …
Computer network fault diagnosis based on neural network
W Qian - … Journal of Future Generation Communication and …, 2015 - earticle.net
Computer network is one of the world's most important infrastructures in twenty-first Century,
network fault diagnosis has become the focus of attention. With the development of artificial …
network fault diagnosis has become the focus of attention. With the development of artificial …
Computer network fault detection based on neural network
Y Chen, GB Ren - Advanced Materials Research, 2014 - Trans Tech Publ
This document explains that the neural network has good nonlinear mapping and adaptive
capacity. It is becoming more and more widely applied in computer network fault detection …
capacity. It is becoming more and more widely applied in computer network fault detection …
The fault diagnosis expert system based on bp neural network
R Hua, C Qiu - 2015 IEEE Advanced Information Technology …, 2015 - ieeexplore.ieee.org
This paper summarizes the features and principles of artificial neural network, and problems
existing in the traditional expert system. Then it introduces the structural components and …
existing in the traditional expert system. Then it introduces the structural components and …
A fault diagnosis intelligent algorithm based on improved BP neural network
P Liu, W Zhang - International Journal of Pattern Recognition and …, 2019 - World Scientific
The fault diagnosis intelligent algorithm makes full use of the associative memory and
pattern recognition function of the neural network to compare the abnormal value of various …
pattern recognition function of the neural network to compare the abnormal value of various …
Design and Implementation of Fault Diagnosis System for Power Internet of Things Equipment Based on Neural Network
Q Ren - Mobile Information Systems, 2022 - Wiley Online Library
The design and application of the equipment fault diagnosis system have been improved
and upgraded, allowing it to effectively detect the equipment's operation status and promptly …
and upgraded, allowing it to effectively detect the equipment's operation status and promptly …
Research and application on intelligent fault diagnosis based on BP neural net
W Chen, T Fang, W Qian, Y Ma… - Proceedings of the 4th …, 2002 - ieeexplore.ieee.org
The article introduces the model structure and learning arithmetic of the BP neural network,
aiming at the firing command system that has the characteristic of a complicated structure …
aiming at the firing command system that has the characteristic of a complicated structure …
Research on Fault Diagnosis Technology Based on BP Neural Network
X HE, R SHI - Computer and Modernization, 2009 - cam.org.cn
This paper analyzes the characteristics and shortages of traditional fault diagnosis methods,
upon these analysis chooses BP neural network to perform fault diagnosis, discusses BP …
upon these analysis chooses BP neural network to perform fault diagnosis, discusses BP …
[PDF][PDF] Data process of diagnose expert system based on neural network
S Zhao, M Tian, S Zhang, J Li, L Du, Y Wang - Journal of Networks, 2013 - academia.edu
Considering about the distinguishing feature of the engine, Engine Diagnosis Expert System
was investigated based on Diagnosis Tree module, Fuzzy Neural Network module, and …
was investigated based on Diagnosis Tree module, Fuzzy Neural Network module, and …