Pubblicazione scientifica

Ecological water quality assessment system based on BP neural network

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità
produzione e raccolta

RIASSUNTO

Accurate and real-time water quality assessment is an important way to ensure healthy aquaculture and protect the water environment. Due to the diversity, nonlinear and uneven distribution of aquaculture water quality parameters, it's very difficulty to assess the water quality. In this paper, the accurate water quality parameters are obtained by an adaptive weighted fusion method, then the water quality is assessment by the BP neural network, thus the software of the monitoring and evaluation system for ecological water quality is developed. The test results show that the accuracy of the water quality assessment system is 93.3%, which has good practicability.

DATA

Data di pubblicazione: 01/10/2017

AUTORI

SHEN-YUHENG
KUANG-YINGCHUN
CHEN-JING
JIANG-HUI

ENTE DI AFFERENZA

COLLEGE OF INFO SCIENCE & TECH HUNAN AGRICULTURAL UNIV CHANGSHA CHINA
COLLEGE OF ANIMAL SCIENCE & TECH HUNAN AGRICULTURAL UNIV CHANGSHA CHINA

RIVISTA

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC) (Page(s): 37-41)

indietro