Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm
With the development of computer technology and the enhancement of people's cognition of the world, more and more scholars have been focusing on the research of complex networks. At the same time, the emerging machine learning neural network algorithm has become a powerful tool for various rese...
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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201817303040 |
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doaj-2d45e73dca6b44c09eb0ed366c9c45362021-04-02T10:52:42ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011730304010.1051/matecconf/201817303040matecconf_smima2018_03040Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network AlgorithmShen BingWith the development of computer technology and the enhancement of people's cognition of the world, more and more scholars have been focusing on the research of complex networks. At the same time, the emerging machine learning neural network algorithm has become a powerful tool for various researchers. This paper mainly discusses the construction and clustering of complex networks based on neural network algorithm. Firstly, the development history and main application fields of neural network are introduced. Then, several common methods of complex network clustering are summarized, and then the limitations of these clustering methods are discussed. At last, it proposes to improve the construction of neural network through the concept of small world in complex network and enhance the effect of complex network clustering by the characteristics of neural network algorithm, including the accuracy, reliability, stability, speed, etc.https://doi.org/10.1051/matecconf/201817303040 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shen Bing |
spellingShingle |
Shen Bing Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm MATEC Web of Conferences |
author_facet |
Shen Bing |
author_sort |
Shen Bing |
title |
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm |
title_short |
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm |
title_full |
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm |
title_fullStr |
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm |
title_full_unstemmed |
Comprehension and Thinking of Complex Network Construction and Clustering Based on Neural Network Algorithm |
title_sort |
comprehension and thinking of complex network construction and clustering based on neural network algorithm |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
With the development of computer technology and the enhancement of people's cognition of the world, more and more scholars have been focusing on the research of complex networks. At the same time, the emerging machine learning neural network algorithm has become a powerful tool for various researchers. This paper mainly discusses the construction and clustering of complex networks based on neural network algorithm. Firstly, the development history and main application fields of neural network are introduced. Then, several common methods of complex network clustering are summarized, and then the limitations of these clustering methods are discussed. At last, it proposes to improve the construction of neural network through the concept of small world in complex network and enhance the effect of complex network clustering by the characteristics of neural network algorithm, including the accuracy, reliability, stability, speed, etc. |
url |
https://doi.org/10.1051/matecconf/201817303040 |
work_keys_str_mv |
AT shenbing comprehensionandthinkingofcomplexnetworkconstructionandclusteringbasedonneuralnetworkalgorithm |
_version_ |
1724166406375735296 |