Bike sharing demand prediction using artificial immune system and artificial neural network
作者： Pei-Chann Chang , Jheng-Long Wu , Yahui Xu , Min Zhang , Xiao-Yong Lu
DOI: 10.1007/S00500-017-2909-8
关键词: Bike sharing 、 Key (cryptography) 、 Performance indicator 、 Service (systems architecture) 、 Computational intelligence 、 Artificial intelligence 、 Antibody 、 Machine learning 、 Artificial immune system 、 Computer science 、 Artificial neural network
摘要: From the viewpoint of bike sharing service, rental number is a critical performance indicator for managers and controllers to assess demand. Bike demand prediction in systems hence key economic systems. In this study, novel framework integrating AIS artificial neural network forecasting technique developed numerical predication; it named AIS-ANN. proposed AIS-ANN framework, there are three major mechanisms applied build predication system which includes cell creation by ANN, antibody generation clonal selection, antibody’s center adaption similarity measuring. The experimental results show that our has better when compared with other 6 models.
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