Forecast of regional water resource demand based on back-propagation neural network—taking Jinhua as an example
In order to extend the actual application based on back-propagation (BP) neural network to forecast the regional water resource demand, taking Jinhua as an example, the three types of the main factors of water resource demand in Jinhua were figured out by principal component analysis, which included...
Saved in:
Main Authors: | LIU Dan-dan, FENG Li-hua, WANG Ning |
---|---|
Format: | Article |
Language: | English |
Published: |
Zhejiang University Press
2011-03-01
|
Series: | 浙江大学学报. 农业与生命科学版 |
Subjects: | |
Online Access: | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.02.017 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Computer networks anomaly detection by using PCA & pattern recognition
by: Elham Bideh, et al.
Published: (2025-06-01) -
Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network
by: Tu Jie, et al.
Published: (2015-03-01) -
A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Yuyang Zhou, et al.
Published: (2025-07-01) -
Investigation of the effectiveness of artificial neural networks of different generations in the task of forecasting in the financial sphere
by: Євгеній Бодянський, et al.
Published: (2025-03-01) -
Discrimination of tobacco varieties using vis/near infrared spectra by wavelet transform and back propagation neural network model
by: WANG Zun-yi, et al.
Published: (2009-11-01)