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A Nonlinear Autoregressive Exogenous Neural Network (NARX) model for the prediction of the pH neutralization process for Palm Oil Mill Effluent

This paper introduces a Nonlinear Autoregressive Exogenous Neural Network (NARX) to predict the pH value of the Palm Oil Mill Effluent (POME). NARX is a computing tool that is widely used for nonlinear time series problems, the techniques that can predict efficient and good performance. In this pape...

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書誌詳細
主要な著者:	Zainal, Azavitra, Abdul Wahab, Norhaliza, Yusof, Mohd. Ismail
フォーマット:	Book Section
出版事項:	Springer Science and Business Media Deutschland GmbH 2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/100677/ http://dx.doi.org/10.1007/978-981-19-3923-5_45
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