Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
Advanced human activities, including modern agricultural practices, are responsible for alteration of natural concentration of nitrogen compounds in rivers. Future prediction of nitrogen compound concentrations (especially nitrate-nitrogen and ammonia-nitrogen) are important for countries where hous...
Saved in:
Main Authors: | Kumar, Pavitra, Lai, Sai Hin, Mohd, Nuruol Syuhadaa, Kamal, Md Rowshon, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed |
---|---|
Format: | Article |
Published: |
Taylor & Francis
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/33960/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
by: Kumar, Pavitra, et al.
Published: (2021) -
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
by: Kumar P., et al.
Published: (2023) -
Nitrogen prediction model through new hybrid model using ant colony optimization and Elman neural network / Pavitra Kumar
by: Pavitra , Kumar
Published: (2021) -
Optimised neural network model for river nitrogen prediction utilizing a new training approach
by: Kumar, Pavitra, et al.
Published: (2020) -
Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models
by: Kumar, Pavitra, et al.
Published: (2020)