A Geo-weighted Grey Theory Model on the Opioid Crisis

Author(s):  
Rui Liang ◽  
Danxuan Liu
2014 ◽  
Vol 501-504 ◽  
pp. 829-833
Author(s):  
Cheng Xin Yu ◽  
Zheng Wen Yu ◽  
Yong Qian Zhao ◽  
Jia Dong Zhang

It has great significance to ensure the safety of bridge structure by using information technology to monitor the bridge dynamic deformation and find out problems in time, besides, it is more effective to make analysis of the bridge by using grey theory model. The combination of the two methods could avoid the observation error, and play an active role in improving the safety and reliability of bridge.


2013 ◽  
Vol 671-674 ◽  
pp. 3-9 ◽  
Author(s):  
Cheng Hua Wang ◽  
Mei Na Zhang

An improved grey system model GM(1,1) was proposed in this paper, considered that the large difference between predicted results and measured load-settlement relationship results of bored piles, in which the prediction results were given by the original theory. The complete and incomplete load-settlement curves from pile loading tests were fitted and predicated by the improved grey model. The results calculated with empirical equations or methods in technical code for building pile foundations were compared with those predicted with the improved grey model. Analysis of a case study showed that the results predicted by the improved grey theory model GM(1,1) had higher precision, which demostrated that this improved theory was of significance in engineering practice.


2014 ◽  
Vol 953-954 ◽  
pp. 3-7 ◽  
Author(s):  
Zhi Feng Zhong ◽  
Chen Yang Yan ◽  
Tian Jin Zhang ◽  
Mao Tian

This paper makes a prediction about the daily power generation of the photovoltaic power station in Wuhan International Exhibition Center by the application of multivariable grey theory model and compares the forecasted results with the real results. This research proves that the application of the theory of multivariable grey model on short-term prediction of photovoltaic power generation can achieve a good prediction effect, which also has certain engineering application value.


2018 ◽  
Vol 55 (4C) ◽  
pp. 20
Author(s):  
Nguyen Hien Than

The green growth prediction plays an important role to assess and monitor the growth rate of a local region. Managers and researchers can make timely adaptation policy to improve and innovate economic, cultural and environmental performance to impulse the green growth. The study used the methods such as the multiple criteria analysis, analytic hierarchy process, principal component analysis, and the grey theory model to build and integrate green growth indicators into the green growth index. The green growth index was developed by 9 subjects and 18 indicators. The data of study were collected a period of seven years from 2009 to 2015. The results of study indicated that almost districts increased the green growth index. District 1 and District 5 reached at high green growth level about 60 score, while others were classified into average green growth level. The results of green growth prediction of districts in Ho Chi Minh City also showed that the green growth index will lightly increase from 2016 – 2020. 


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Zhifeng Zhong ◽  
Chenxi Yang ◽  
Wenyang Cao ◽  
Chenyang Yan

Owing to the environment, temperature, and so forth, photovoltaic power generation volume is always fluctuating and subsequently impacts power grid planning and operation seriously. Therefore, it is of great importance to make accurate prediction of the power generation of photovoltaic (PV) system in advance. In order to improve the prediction accuracy, in this paper, a novel particle swarm optimization algorithm based multivariable grey theory model is proposed for short-term photovoltaic power generation volume forecasting. It is highlighted that, by integrating particle swarm optimization algorithm, the prediction accuracy of grey theory model is expected to be highly improved. In addition, large amounts of real data from two separate power stations in China are being employed for model verification. The experimental results indicate that, compared with the conventional grey model, the mean relative error in the proposed model has been reduced from 7.14% to 3.53%. The real practice demonstrates that the proposed optimization model outperforms the conventional grey model from both theoretical and practical perspectives.


2012 ◽  
Vol 538-541 ◽  
pp. 3154-3159 ◽  
Author(s):  
Jian Guo Zhang ◽  
Jian Jun Chen ◽  
Jing Li Du

By using gray theory model, the problem with less data and poor information is easy to be solved. Thus, the grey theory and the reliability assessment method were connected to analyze the mechanism motion. At first, the concept and model of mechanism’s grey movement reliability were presented. And then, from the limit state equations of a mechanism’s moving function and kinematic accuracy, the gray reliability calculation formulas were deduced. Finally, combined with two examples the method was applied to the actual reliability analysis. The results show that the method is feasible and efficient, so it is practical to apply the grey reliability model in mechanism reliability analysis.


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