| Autor: |
Aisha, Syafira Mohd, Thamrin, Norashikin M., Ghazali, Muhammad Fariq, Ibrahim, Nik Nor Liyana Nik, Ali, Megat Syahirul Amin Megat |
| Předmět: |
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| Zdroj: |
TEM Journal; May2022, Vol. 11 Issue 2, p842-850, 9p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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