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Luoma Water quality classification by parallel BP Neural network in Hadoop

Source: Internet
Author: User
Keywords HADOOP MAPREDUCE BP Neural Network
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Luoma Water quality classification by parallel BP Neural network in Hadoop

Shungua Shao Xiaogen Bao Xu Delan Wang Hai

This paper studies the advantages of cloud computing to data migration mechanism and mapreduce in parallel processing of massive data, and solves the bottleneck problem that BP neural network has large computational capacity and long training time in processing large sample data. A network model of multiple pollution factors affecting luoma Water quality is constructed, The Parallel BP network algorithm is applied in Hadoop to realize the classification of Luoma water quality, and the result of mining analysis has the significance of decision support for Luoma water quality optimization and ecological restoration.


Luoma Water quality classification by parallel BP Neural network in Hadoop

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