A Multiple Factor Bike Usage Prediction Model in Bike-Sharing System

Author(s):  
Zengwei Zheng ◽  
Yanzhen Zhou ◽  
Lin Sun
2012 ◽  
Vol 178-181 ◽  
pp. 1765-1768
Author(s):  
Xin Zhang ◽  
Feng Zhang ◽  
Lei Luo

In this article, the authors test whether the economic growth helps predict the Dalian New Airport`s cargo volume. In regression equations explaining cargo volume, the article uses various measures of economic data, including GDP, practitioner’s number, waterway freight traffic volume, highway freight traffic volume, tourists. This article choices the high correlation economic indexes to build the prediction model, use the model test the previous data, verify the feasibility of the model, and forecast the Dalian New Airport`s Cargo volume in the future.


2005 ◽  
Vol 173 (4S) ◽  
pp. 427-427
Author(s):  
Sijo J. Parekattil ◽  
Udaya Kumar ◽  
Nicholas J. Hegarty ◽  
Clay Williams ◽  
Tara Allen ◽  
...  

Author(s):  
Vivek D. Bhise ◽  
Thomas F. Swigart ◽  
Eugene I. Farber
Keyword(s):  

2009 ◽  
Author(s):  
Christina Campbell ◽  
Eyitayo Onifade ◽  
William Davidson ◽  
Jodie Petersen

2019 ◽  
Author(s):  
Zool Hilmi Mohamed Ashari ◽  
Norzaini Azman ◽  
Mohamad Sattar Rasul

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Qianqian Liang ◽  
Xiaodong Zhang ◽  
Jinliang Xu ◽  
Yang Zhang

Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.


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