期刊
INTERNATIONAL CONFERENCE MACHINERY, ELECTRONICS AND CONTROL SIMULATION
卷 614, 期 -, 页码 521-525出版社
TRANS TECH PUBLICATIONS LTD
DOI: 10.4028/www.scientific.net/AMM.614.521
关键词
BP algorithm; artificial neural network; parallelization; short-term traffic prediction
Parallelized training algorithm of MLP-BP neural network is implemented on the Sunway Blue Light Supercomputer. Efforts are mainly focused on the dada parallel method based on the characteristics of the training process. The implementation mainly depends on MPI techniques, which ensures the universality of the application. A new strategy of data partition and storage is applied in the parallelism. Tests of short-term traffic prediction which is significant in the intelligent transportation system are carried out to verify the accuracy and efficiency of the routines.
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