Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network

Yu, Wenguang; Guan, Guofeng; Li, Jingchao; Wang, Qi; Xie, Xiaohan; Zhang, Yu; Huang, Yubing; Yu, Xinliang; Cui, Chaoran

doi:10.1155/2021/6616121

Cited by 12 publications

(8 citation statements)

References 18 publications

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“…(3) The enactment capacity of the organization is differentiable; typically, a sigmoid capacity or a direct capacity is utilized. Among them, the sigmoid capacity is isolated into two sorts: log-sigmoid capacity and tan-sigmoid capacity [19].…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Innovative College Students’ Educational Management Mode Based on BP Neural Network

Zhang

2022

Wireless Communications and Mobile Computing

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With the advancement of society, the necessities for school graduates are getting increasingly elevated. In this unique situation, the conventional showing the board model in schools and colleges has not been able to adjust to the pattern of present day advancement and should be improved and developed likewise. By advancing the instructive administration model, this paper expects to work on the idea, conduct, and advancement capacity of undergrads to address the issues of social turn of events. In light of this, this paper principally concentrates on the issues existing in the instruction of the board of undergrads and the comparing imaginative models. This paper takes Wenzhou University students as the research object, combining qualitative analysis with quantitative analysis. This paper assembles a general travel industry proficient development and business venture schooling assessment framework based on BP brain organization. It lessens the impedance brought about by human elements in the assessment cycle and guarantees the precision of the assessment results. This paper improves the research and analysis framework of related fields, enriches the research results of innovation and entrepreneurship education evaluation in tourism, and has important theoretical value for improving the evaluation model in this field. The exploratory aftereffects of this paper show that the thorough organization yield esteem is 0.7261 as per the information gathered by Wenzhou University utilizing the poll review. It demonstrates that the advancement and business training of Wenzhou University is at a medium level, and there is still a lot of opportunity to get better.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Innovative College Students’ Educational Management Mode Based on BP Neural Network

Zhang

2022

Wireless Communications and Mobile Computing

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“…Equation ( 8) represents the outlier component of the correlation function used to transfer the effect in the output layer of the network [17], from which it can be obtained:…”

Section: Construction Of Bpnnmentioning

confidence: 99%

[Retracted] Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory

2022

Journal of Environmental and Public Health

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College English has almost always been a required course, and a college student’s level of English proficiency is one of the factors used to assess their learning capacity. The quality of students’ English learning is largely influenced by the level of English instruction provided in colleges. However, there are still a lot of issues with college English instruction today, the most glaring of which is that English instruction is being overly simplified, and that the methods, modes, and purposes of instruction are also very narrow. Due to this, it is challenging for most colleges and universities’ English teaching levels to satisfy the requirements of high-level education. The PSO-BP neural network model, which optimizes the BP neural network (BPNN), is used in this study to build a high-precision and diversified English teaching evaluation model in order to address the aforementioned issues. According to the experimental findings, the PSO-BPNN algorithm has a relative error of just 0.29 percent and an average accuracy rate of 97.02 percent. Overall performance is superior to that of the conventional BPNN algorithm, and it is the most adaptable in terms of creating various evaluation modes.

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“…Recognition Rate. In constructing the BP neural network [24][25][26], the input of the BP neural network is also di erent with di erent energy selected, and the recognition rate of the encryption algorithm will be di erent. During the experiment, the in uence of the energy coe cient on the recognition rate of the neural network was analyzed by changing the size of the energy coe cient.…”

Section: Methodsmentioning

confidence: 99%

Image Recognition and Encryption Algorithm Based on Artificial Neural Network and Multidimensional Chaotic Sequence

Feng

Chen

2022

Computational Intelligence and Neuroscience

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With the continuous development of Internet technology and technological innovation, image recognition technologies such as face unlocking and face brushing payment have gradually entered daily life. However, it can not be ignored that these technologies not only bring us great convenience but also face great risks. The biological characteristics of a face image are unique, and it will be difficult to modify once it is leaked. If the image information stored in the cloud is leaked because it cannot be properly kept, users have no privacy. The encryption and recognition of face image can effectively solve this problem. Aiming at this, high-dimensional chaos Henon Map and one-dimensional chaos Logistic Map are used to generate a key to complete the encryption of the image in the transformation domain, and the capacity and complexity of the key are further enhanced. Then, combined with BP neural network to achieve face image recognition. Finally, the robustness of the proposed algorithm is verified and analyzed by conventional attacks, geometric attacks, and occlusion attacks.

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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network

Cited by 12 publications

References 18 publications

Innovative College Students’ Educational Management Mode Based on BP Neural Network

Innovative College Students’ Educational Management Mode Based on BP Neural Network

[Retracted] Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory

Image Recognition and Encryption Algorithm Based on Artificial Neural Network and Multidimensional Chaotic Sequence

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