Title :
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
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;
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
DOI :
10.1109/IEEC.2009.152
