International Journal of Social Science & Economic Research
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Title:
FAILURE ANALYSIS OF "PHOTOGRAPHING AND MAKING MONEY" TASK BASED ON B-P NEURAL NETWORK

Authors:
Zeng Yunhui, Guo Hongfei, Zhang Yuanbiao, Huang Guoquan, Huang Shusheng, Chen Yilin, Shen Shiyue, Chen Zhengguo

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1*Zeng Yunhui, 2Guo Hongfei, 3Zhang Yuanbiao, 4Huang Guoquan, 1Huang Shusheng, 1Chen Yilin, 1Shen Shiyue, 1Chen Zhengguo
1. Bachelor Research Scholar?College of Intelligent Science and Engineering, Jinan University, No. 206, Qianshan Road, Xiangzhou District, Zhuhai City, Guangdong Province
2. Associate Professor?College of Internet of Things and Logistics Engineering, Jinan University, No. 206, Qianshan Road, Xiangzhou District, Zhuhai City, GuangdongProvince
3. Associate Professor?College of Intelligent Science and Engineering, Jinan University,No. 206, Qianshan Road, Xiangzhou District, Zhuhai City, Guangdong Province.
4. Professor, Department of Industrial and Manufacturing Systems Engineering, , The University of Hong Kong, Hong Kong, China,
*. Corresponding Author

MLA 8
Yunhui, Zeng, et al. "FAILURE ANALYSIS OF "PHOTOGRAPHING AND MAKING MONEY" TASK BASED ON B-P NEURAL NETWORK." Int. j. of Social Science and Economic Research, vol. 3, no. 9, Sept. 2018, pp. 5316-5334, ijsser.org/more2018.php?id=367. Accessed Sept. 2018.
APA
Yunhui, Z., Hongfei, G., Yuanbiao, Z., Guoquan, H., Shusheng, H., Yilin, C., Shiyue, S., & Zhengguo, C. (2018, September). FAILURE ANALYSIS OF "PHOTOGRAPHING AND MAKING MONEY" TASK BASED ON B-P NEURAL NETWORK. Int. j. of Social Science and Economic Research, 3(9), 5316-5334. Retrieved from ijsser.org/more2018.php?id=367
Chicago
Yunhui, Zeng, Guo Hongfei, Zhang Yuanbiao, Huang Guoquan, Huang Shusheng, Chen Yilin, Shen Shiyue, and Chen Zhengguo. "FAILURE ANALYSIS OF "PHOTOGRAPHING AND MAKING MONEY" TASK BASED ON B-P NEURAL NETWORK." Int. j. of Social Science and Economic Research 3, no. 9 (September 2018), 5316-5334. Accessed September, 2018. ijsser.org/more2018.php?id=367.

References
[1]. Yang Lianwu, "Correlation Analysis of the Factors Affecting the Task of Photographing and Making Money," Journal of Chifeng University(Natural Science Edition), Vol.34, No.3, pp.11-12, Mar.2018.
[2]. Chao Shigang, "Analysis of Task Pricing Rules of Photo Making," Science Mosaic, Vol.9, pp.158-160, 2017.
[3]. Zhu Ke, Ou Yang Jian-xin*, Liu Yan, Huang Shanshan, "Analysis of the pricing of making money by photo taking," Journal of Guizhou Education University, Vol.34,No.3, pp.23-26, Mar.2018.
[4]. Zhu Jiaming, Cao Qiqi, PanXuehang, Qian Lihui, Li Chunzhong, "An Empirical Analysis of Task Pricing Based on K-means Clustering Algorithm," Journal of Xiamen University of Technology, Vol.26, No.3, pp.85-90, Jun.2018.
[5]. Li Yuan, Wen Zhaohui, Li Wenya, Wang Peng, "The task pricing mechanism based on generalized linear regression ," Journal of Science of Teachers'College and University, Vol.37, No.12, pp.11-15, Dec.2017.
[6]. Zhongxiang Jia, "Photographing money task pricing," in Proceedings of 6th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS), Busan, SOUTH KOREA, April 2018.
[7]. Ilkay KARADUMAN, Fargol ETEZADI, "DO PERSONALIZED CUSTOMER SERVICES EFFECT CUSTOMER PERCEIVED VALUE AND BRAND LOYALTY ?" International Journal of Social Science & Economic Research, Volume.01, Issue.07, pp.806-823, Aug.2016.
[8]. China Society for Industrial and Applied Mathematics. Undergraduate Mathematical Contest in Model(2017). Retrieved from: http://www.shumo.com/home/html/3532.html
[9]. Zhou Xiang, Wang Fenghua, Fu Jian, Lin Jiayang, Jin Zhijian, "Mechanical Condition Monitoring of On-load Tap Changers Based on Chaos Theory and K-means Clustering Method," Proceedings of the CSEE, Vol.35, No.6, pp.1541-1548, Mar.2015.
[10]. Wang Gongqi, "The method of finding the distance between two points on the sphere," Journal of Henan Science and Technology, No.05, pp.189-190, 2013.
[11]. Zhang Shan, Wang Fengxia, "Tourism Information Services Search Research Based on Matching Degree," in Proceedings of International Conference on GIS and Resource Management (ICGRM), Guangzhou, PEOPLES R CHINA, January 2014.
[12]. National Bureau of Statistics of the People's Republic of China. Introduction to the time utilization survey results (2008). Retrieved from: http://www.stats.gov.cn/ztjc/ztfx/grdd/200811/t20081121_59037.html
[13]. Lei Jingtao, Wang Tianmiao, Gong Zhenbang, "Study on Machine Vision Fuzzy Recognition Based on Matching Degree of Multi-characteristics," in Proceedings of International Conference on Life System Modeling and Simulation / International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMSICSEE), Wuxi, PEOPLES R CHINA, September 2010.
[14]. Zeng ke, He Xiaoyang, Liu Hongyan, "Nonlinear Predictive Control Based on B-P Network Model of Sugar Crystallization in Batch Pan ," Control Engineering of China, Vol.13, No.4, pp.348-350+354, Jul.2006.
[15]. Guo Zhenhai, Wu Jie, Lu Haiyan, Wang Jianzhou, "A case study on a hybrid wind speed forecasting method using BP neural network," KNOWLEDGE-BASED SYSTEMS, Vol.24, No.7, pp.1048-1056, Oct.2011.
[16]. Graffelman Jan, van Eeuwijk Fred A, "Calibration of multivariate scatter plots for exploratory analysis of relations within and between sets of variables in genomic research," BIOMETRICAL JOURNAL, Vol.47, No.6, pp.863-879, Dec. 2005

Abstract:
This article takes a new mobile self-service method under the mobile Internet to "photograph and make money" as the research object. First, using the Surfer software, the contour map of the task distribution and price is drawn. Guess that the original pricing scheme is not only related to the latitude and longitude of the task distribution. It is also related to factors such as the degree of matching between members and tasks, the economic level of the city where the task is located, and the distance of tasks from the central city. The above conjecture was verified by B-P neural network. Finally, the Pearson coefficient is used to analyze the relevance of the task pricing, and the reasons for the failure to complete the main value theory and price theory are analyzed. It includes not considering the impact of the member's reputation value on its completion task, the remote task location the low pricing and the impact of non-monetary value of self-service labor crowdsourcing on members' completion of tasks, etc. This paper provides a theoretical basis and guiding significance for the pricing of self-service labor crowdsourcing under the mobile Internet in the future.

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