Passenger Capacity Prediction Based on Genetic Neural Network

Author

Lei, Wen ; Zhiwen, Qiu ; Ruonan, Qi

Author_Institution

Sch. of Bus. & Manage., North China Electr. Power Univ., Baoding, China

fYear

2009

fDate

16-17 May 2009

Firstpage

696

Lastpage

700

Abstract

The paper presents a genetic neural network model based on the features of genetic algorithm and artificial neural network. It was applied to predict passenger capacity of China. The forecast result shows that genetic neural network model has a smaller margin of error than BP neural network model. Genetic neural network is rather effective than BP neural network. Using genetic neural network to predict passenger capacity is an effective method.

Keywords

genetic algorithms; neural nets; transportation; BP neural network model; China; artificial neural network; genetic algorithm; genetic neural network; passenger capacity prediction; Artificial neural networks; Encoding; Evolution (biology); Genetic algorithms; Genetic engineering; Genetic mutations; Industrial training; Neural networks; Power engineering and energy; Predictive models; artificial neural network; genetic algorithm; genetic neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on

Conference_Location

Ternopil

Print_ISBN

978-0-7695-3686-6

Type

conf

DOI

10.1109/IEEC.2009.152

Filename

5175210

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2692193