A Neural Network Forecasting Model of Beijing Motor Vehicles Sold Based on Set Pare Analysis

2011 ◽  
Vol 403-408 ◽  
pp. 2333-2336
Author(s):  
Xiao Xi Zhang ◽  
Ding Tian Zhang

By applying neural networks to forecasting Beijing motor vehicles sold, sequencing the principal factors and analyzing the development trend using connection number and partial connection number of the set pair analysis (SPA), we set up the forecasting model of Beijing motor vehicles sold. The instance analysis shows that it is a scientific and suitable system analyzing method of high forecasting accuracy.

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Guibin Yang ◽  
Hongyu Gao

Since the knowledge resource becomes an important part of enterprise resources, the knowledge management risks could significantly affect the enterprise operation efficiency. Controlling knowledge management risks is one of the enterprise management tasks; the managers and researchers focus on how to effectively evaluate the risks. This paper aims to solve this problem and puts forward an evaluation model of the uncertain risks of knowledge management. Based on set pair theory, a model is established to identify the knowledge management risk. Through the concept of connection number, knowledge management risk is divided into five levels. Meanwhile, the development trend of knowledge management risk is classified into same tendency, equal tendency, and contrary tendency by the concept of set pair theory. The application of this model is empirically verified with Chinese enterprises. Through both static and dynamic evaluations of the knowledge management risk, this paper can effectively analyze risk development trend and provide decision support for the enterprise manager about the uncertain risks of knowledge management.


2012 ◽  
Vol 170-173 ◽  
pp. 2280-2283 ◽  
Author(s):  
Hong Tao Nie ◽  
Jian Hua Tao ◽  
Min Du

Rapid industrialization and urbanization development had brought a serious challenge for coastal zone in China. A coastal management model had been set up for coastal zone, the coordination degree and coordinated development model were adopted to analyze the development trend. The results show that the gap between the environment comprehensive efficiency index and economic efficiency index is getting bigger and bigger for Bohai Bay coastal zone.


2013 ◽  
Vol 361-363 ◽  
pp. 2040-2044
Author(s):  
Cheng Bing Li ◽  
Wei Dong Chen ◽  
Hua Fei Jia

With the acceleration of the process of urbanization and motorization, the traditional development mode of passenger transport can not meet the requirements of the present era. Firstly, after the brief introduction of the characteristics of traditional passenger transport mode, the connotation of urban passenger transport in the background of the integration is put forward; secondly, the development trend of integration research of urban passenger transport is expounded; afterwards, the influence factors of constructing integrated development mode of passenger transport in city are analyzed; finally, the research object of this topic is set up, namely the integrated development mode of passenger transport in city, having very important and practical significance to guide urban benign development, integrate urban transportation resources and optimize the urban space layout and so on.


Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 360-374
Author(s):  
Yuan Pei ◽  
Lei Zhenglin ◽  
Zeng Qinghui ◽  
Wu Yixiao ◽  
Lu Yanli ◽  
...  

Abstract The load of the showcase is a nonlinear and unstable time series data, and the traditional forecasting method is not applicable. Deep learning algorithms are introduced to predict the load of the showcase. Based on the CEEMD–IPSO–LSTM combination algorithm, this paper builds a refrigerated display cabinet load forecasting model. Compared with the forecast results of other models, it finally proves that the CEEMD–IPSO–LSTM model has the highest load forecasting accuracy, and the model’s determination coefficient is 0.9105, which is obviously excellent. Compared with other models, the model constructed in this paper can predict the load of showcases, which can provide a reference for energy saving and consumption reduction of display cabinet.


1998 ◽  
Vol 82 (Appendix) ◽  
pp. 311-311
Author(s):  
Tetsuji Okajima ◽  
Chizuka Tani

2020 ◽  
Vol 12 (6) ◽  
pp. 2467 ◽  
Author(s):  
Fei Zhao ◽  
Yihan Gao ◽  
Tengyuan Wang ◽  
Jinsha Yuan ◽  
Xiaoxia Gao

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.


2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu

Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.


Sign in / Sign up

Export Citation Format

Share Document