文章基本信息

标题：Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel
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作者：Syafira Mohd Aisha ; Muhammad Fariq Ghazali ; Norashikin M. Thamrin 等
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2022
卷号：11
期号：2
页码：842-850
DOI：10.18421/TEM112-43
语种：English
出版社：UIKTEN
摘要：This study has proposed a non-linear autoregressive model to predict one-day ahead dissolved oxygen in paddy field irrigation channel. A 32-day data is obtained from Kampung Padang To’ La in Pasir Mas, Kelantan using off-the shelf water quality parameter sensors. Analysis has revealed no correlation between dissolved oxygen with pH and electrical conductivity. A non-linear autoregressive model is then developed using the dissolved oxygen measurements and artificial neural network. A prediction model developed using Levenberg- Marquardt algorithm yielded the best results with overall regression of 0.9253. The model has also passed all correlation tests and can therefore, be accepted.