|Table of Contents|

Based on Parallel BP Neural Network of Classification on Water Quality of Luoma Lake Under Hadoop(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年01期
Page:
52-
Research Field:
计算机科学
Publishing date:

Info

Title:
Based on Parallel BP Neural Network of Classification on Water Quality of Luoma Lake Under Hadoop
Author(s):
Ju Xunguang1; Shao Xiaogen1; Bao Rong1; Xu Delan2; Wan Haiying1
(1.School of Information and Electrical Engineering,Xuzhou Institute of Technology,Xuzhou 221111,China) (2.School of Environmental Engineering,Xuzhou Institute of Technology,Xuzhou 221111,China)
Keywords:
water quality of Luoma Lake; Hadoop; parallel BP neural network
PACS:
TP391
DOI:
-
Abstract:
Research the advantage of using the mechanism of computing to data migration and MapReduce parallel processing of massive data,to solve the bottlenecks problem on large amount of computing and network training time when the BP neural network in dealing with a large sample data.Its constructed water quality evaluation model based on the pollution influence factors of Luoma Lake and mined the water quality classification of Luoma Lake by applied the parallel BP algorithm under Hadoop.Mining analysis results is meaningful of decision support for the water quality optimization and ecological remediation of Luoma Lake.

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Last Update: 2014-03-30