Application research on improved BP neural network for water quality comprehensive evaluation

Lian Zhang; Wen-juan Li; Wei Lai

doi:10.1117/12.2011063

20 March 2013 Application research on improved BP neural network for water quality comprehensive evaluation

Lian Zhang, Wen-juan Li, Wei Lai

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87683J (2013) https://doi.org/10.1117/12.2011063
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

An Back Propagation (BP) neural network model for water quality evaluation was established to overcome the shortcomings of the traditional methods. Levenberg-Marquardt (LM) optimization algorithm was used to make the BP neural network converging quickly, and golden section theory was used to get the reasonable number of the network's hidden nodes. The optimal BP network model was used to evaluate the water quality degree of Xindu area of Chengdu, which results were compared with the evaluation results of traditional methods: comprehensive pollution evaluation method and single factor method, it was proved that the results of the set BP network model are more objective and steady, and it makes it possible to compare the water quality of two rivers which belong to different function grades.

Citation Download Citation

Lian Zhang, Wen-juan Li, and Wei Lai "Application research on improved BP neural network for water quality comprehensive evaluation", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87683J (20 March 2013); https://doi.org/10.1117/12.2011063

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available