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The objective and accurate evaluation of land value is one of the biggest interest issues that farmers are concerned about in the transfer of rural land, and it is one of the influencing factors that influence the country’s rural rejuvenation strategy recommendation. Considering the nonlinear characteristics of various policy and social issues, such as the nature of land and market chaos in the process of rural land circulation, neural networks are introduced to study rural land evaluation based on the development of wireless networks, and the mechanism of influence of promotion of rural regeneration is explored. After analyzing the structure and flow of the neural network, the related equations of the BP neural network are updated, and the introduction of a genetic algorithm to establish a hybrid model is proposed to promote the effective evaluation of the complexity problem by the BP neural network algorithm and improve the prediction accuracy. After simulation experiments show that this study can provide a fair evaluation of the value of rural land transfer, and it has positive significance for promoting the development strategy of rural rejuvenation.
Jiao J, Li Y, Wu B. Research on acoustic signal recognition method for pipeline leakage with BP neural network[J]. Chin. J. Sci. Instrum. (11), 2588-2596 (2016).
H. Gao, M. Colliery, Research on reliability of coal mine support based on BP artificial neural network. Jiangxi Coal Science & Technology 37(4), 18–92 (2017)
H. Ji, Z.Y. Li, Research and simulation of SVPWM algorithm based on BP neural network. Key Eng. Mater. 693, 1391–1396 (2016) CrossRef
W.R. Yang, C. Chi, X.R. Yang, Research on vibration isolation effect of porous media shock absorber based on BP neural network. Journal of Magnetic Materials & Devices 724(18), 26–12 (2016)
X. Yu, S. Xiong, Y. He, et al., Research on campus traffic congestion detection using BP neural network and Markov model. Journal of Information Security & Applications 31(C), 54–60 (2016) CrossRef
D.U. Guanzhou, G. Wei, Z. Gao, Research on power consumption prediction of public buildings based on BP neural network. Engineering Economy 29(16), 37 (2017)
Y. Tian, C. Zhang, X. Mao, et al., Research on abnormal behavior of power consumption based on BP neural network with PCA. Journal of Chongqing University of Technology 41(9), 34–346 (2017)
Z. Zhang, Research and application of capability evaluation model based on BP neural network educational technology—Taking the problem-based learning teaching process learning as an example. Journal of Computational & Theoretical Nanoscience 13(9), 6210–6217 (2016) CrossRef
Bo Y. The comprehensive regionalization function partition method research based on BP Neural Network[J]. Territory & Nat. Resour. Stud. (01), 68-69 (2016).
M. Kumar, Y. Mao, Y. Wang, et al., Fuzzy theoretic approach to signals and systems: static systems. Inf. Sci. 418-419, 668–702 (2017) CrossRef
W. Zhang, K. Thurow, R. Stoll, A context-aware mhealth system for online physiological monitoring in remote healthcare. International Journal of Computers Communications & Control 11(1), 142–156 (2016) CrossRef
- The impact mechanism of rural land circulation on promoting rural revitalization based on wireless network development
- Springer International Publishing
EURASIP Journal on Wireless Communications and Networking
Elektronische ISSN: 1687-1499
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