Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method
Biological neural network system is a complex nonlinear dynamic system, and research on its dynamics is an important topic at home and abroad. This paper briefly introduces the dynamic characteristics and influencing factors of the neural network system, including the effects of time delay and noise...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/7646121 |
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| _version_ | 1849306164255260672 |
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| author | Hongyan Chen |
| author_facet | Hongyan Chen |
| author_sort | Hongyan Chen |
| collection | DOAJ |
| description | Biological neural network system is a complex nonlinear dynamic system, and research on its dynamics is an important topic at home and abroad. This paper briefly introduces the dynamic characteristics and influencing factors of the neural network system, including the effects of time delay and noise on neural network synchronization, synchronous transition, and stochastic resonance, and introduces the modeling of the neural network system. There are irregular mixing problems in the complex biological neural network system. The BP neural network algorithm can be used to solve more complex dynamic behaviors and can optimize the global search. In order to ensure that the neural network increases the biological characteristics, this paper adjusts the parameters of the BP neural network to receive EEG signals in different states. It can simulate different frequencies and types of brain waves, and it can also carry out a variety of simulations during the operation of the system. Finally, the experimental analysis shows that the complex biological neural network model proposed in this paper has good dynamic characteristics, and the application of this algorithm to data information processing, data encryption, and many other aspects has a bright prospect. |
| format | Article |
| id | doaj-art-387f08a8b5e140d6b3a11be30bdeadf5 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-387f08a8b5e140d6b3a11be30bdeadf52025-08-20T03:55:11ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/7646121Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network MethodHongyan Chen0Chongqing Vocational Institute of EngineeringBiological neural network system is a complex nonlinear dynamic system, and research on its dynamics is an important topic at home and abroad. This paper briefly introduces the dynamic characteristics and influencing factors of the neural network system, including the effects of time delay and noise on neural network synchronization, synchronous transition, and stochastic resonance, and introduces the modeling of the neural network system. There are irregular mixing problems in the complex biological neural network system. The BP neural network algorithm can be used to solve more complex dynamic behaviors and can optimize the global search. In order to ensure that the neural network increases the biological characteristics, this paper adjusts the parameters of the BP neural network to receive EEG signals in different states. It can simulate different frequencies and types of brain waves, and it can also carry out a variety of simulations during the operation of the system. Finally, the experimental analysis shows that the complex biological neural network model proposed in this paper has good dynamic characteristics, and the application of this algorithm to data information processing, data encryption, and many other aspects has a bright prospect.http://dx.doi.org/10.1155/2021/7646121 |
| spellingShingle | Hongyan Chen Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method Advances in Multimedia |
| title | Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method |
| title_full | Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method |
| title_fullStr | Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method |
| title_full_unstemmed | Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method |
| title_short | Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method |
| title_sort | research on modeling and dynamic characteristics of complex biological neural network model considering bp neural network method |
| url | http://dx.doi.org/10.1155/2021/7646121 |
| work_keys_str_mv | AT hongyanchen researchonmodelinganddynamiccharacteristicsofcomplexbiologicalneuralnetworkmodelconsideringbpneuralnetworkmethod |