Neural Network Optimization Based on Complex Network Theory: A Survey
Complex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex network theory for the study of network topology, it is obvious that complex network topology models can be applied to enhan...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/2/321 |
| _version_ | 1827623415955062784 |
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| author | Daewon Chung Insoo Sohn |
| author_facet | Daewon Chung Insoo Sohn |
| author_sort | Daewon Chung |
| collection | DOAJ |
| description | Complex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex network theory for the study of network topology, it is obvious that complex network topology models can be applied to enhance artificial neural network models. In this paper, we provide an overview of the most important works published within the past 10 years on the topic of complex network theory-based optimization methods. This review of the most up-to-date optimized neural network systems reveals that the fusion of complex and neural networks improves both accuracy and robustness. By setting out our review findings here, we seek to promote a better understanding of basic concepts and offer a deeper insight into the various research efforts that have led to the use of complex network theory in the optimized neural networks of today. |
| first_indexed | 2024-03-09T11:46:23Z |
| format | Article |
| id | doaj.art-4c3dbf7ad3c04259b00f093bfa2dce55 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:46:23Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-4c3dbf7ad3c04259b00f093bfa2dce552023-11-30T23:20:35ZengMDPI AGMathematics2227-73902023-01-0111232110.3390/math11020321Neural Network Optimization Based on Complex Network Theory: A SurveyDaewon Chung0Insoo Sohn1Division of Electronics & Electrical Engineering, Dongguk University, Seoul 04620, Republic of KoreaDivision of Electronics & Electrical Engineering, Dongguk University, Seoul 04620, Republic of KoreaComplex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex network theory for the study of network topology, it is obvious that complex network topology models can be applied to enhance artificial neural network models. In this paper, we provide an overview of the most important works published within the past 10 years on the topic of complex network theory-based optimization methods. This review of the most up-to-date optimized neural network systems reveals that the fusion of complex and neural networks improves both accuracy and robustness. By setting out our review findings here, we seek to promote a better understanding of basic concepts and offer a deeper insight into the various research efforts that have led to the use of complex network theory in the optimized neural networks of today.https://www.mdpi.com/2227-7390/11/2/321complex networksneural networksnetwork robustnessoptimization methodsnetwork attack |
| spellingShingle | Daewon Chung Insoo Sohn Neural Network Optimization Based on Complex Network Theory: A Survey Mathematics complex networks neural networks network robustness optimization methods network attack |
| title | Neural Network Optimization Based on Complex Network Theory: A Survey |
| title_full | Neural Network Optimization Based on Complex Network Theory: A Survey |
| title_fullStr | Neural Network Optimization Based on Complex Network Theory: A Survey |
| title_full_unstemmed | Neural Network Optimization Based on Complex Network Theory: A Survey |
| title_short | Neural Network Optimization Based on Complex Network Theory: A Survey |
| title_sort | neural network optimization based on complex network theory a survey |
| topic | complex networks neural networks network robustness optimization methods network attack |
| url | https://www.mdpi.com/2227-7390/11/2/321 |
| work_keys_str_mv | AT daewonchung neuralnetworkoptimizationbasedoncomplexnetworktheoryasurvey AT insoosohn neuralnetworkoptimizationbasedoncomplexnetworktheoryasurvey |