Prediction of quality parameters (NO3, DO) of Karaj River using ANN, MLR, and Denoising-based combined wavelet-neural network based on Models
Background & Objectives: The prediction and quality control of the Karaj River water, as one of the important needed water supply sources of Tehran, possesses great importance. In this study, performance of artificial neural network (ANN), combined wavelet-neural network (WANN), and multi linear...
Main Authors: | T Rajaee, R Rahimi Benmaran, H Jafari |
---|---|
Format: | Article |
Language: | fas |
Published: |
Tehran University of Medical Sciences
2014-07-01
|
Series: | سلامت و محیط |
Subjects: | |
Online Access: | http://ijhe.tums.ac.ir/browse.php?a_code=A-10-468-1&slc_lang=en&sid=1 |
Similar Items
-
Identification of Mollusca Species along the Karaj River in Alborz Province
by: Zahra Ramezan, et al.
Published: (2019-12-01) -
Tracing Antibiotic Compounds (amoxicillin, erythromycin, gentamicin and cephalexin) in Karaj River, Iran 2015
by: Samar Mortazavi, et al.
Published: (2017-12-01) -
Estimating Probable Maximum Precipitation Based on Synoptic Method in Karaj River Basin
by: Afsaneh Abbassi, et al.
Published: (2013-05-01) -
The study of environmental hygiene indexes status in Karaj :Hospitals:2011
by: A Jonidi Jafari, et al.
Published: (2013-02-01) -
Calibration Analysis of High-G MEMS Accelerometer Sensor Based on Wavelet and Wavelet Packet Denoising
by: Yunbo Shi, et al.
Published: (2021-02-01)