Development of Sigmoidnet Based NARX Model for a Distillation Column

Ramesh, K.; Shukor, Syamsul Rizal Abd; Aziz, N.

doi:10.2202/1934-2659.1150

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…• The Sigmoidnet (Ramesh, Shukor, & Aziz 2008) is a simple structure that combines non-linear and linear estimators using a Sigmoid function.…”

Section: Multivariate Modelsmentioning

confidence: 99%

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression

Passos

Lydia²,

Lydia³

et al. 2022

Preprint

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The global burden of dengue, a mosquito-borne viral infection, has alarmingly increased in recent decades. The rise in disease occurrence is mainly attributed to changes in the climate, human ecology, globalization, and demography. In such a scenario, an accurate prediction of a dengue outbreak is essential to reduce the morbidity rate significantly. Therefore, this paper employs two classes of autoregressive models for dengue forecasting and a recently proposed approach called Finite Element Machine for Regression (FEMaR). Further, it proposes a variant of the latter, namely FEMaR-KD, which allows the exploration of k -approximate nearest neighbors to interpolate data points based on k -neighborhood instead of the whole dataset. Such models are built considering environmental parameters, which denote one of the main determinants for infection occurrence. Finally, the proposed models’ performance is assessed over two distinct datasets, considering differing spatial scales and regions. Results show that FEMaR obtained Mean Absolute Error up to 51% smaller than the autoregressive models considering univariate scenarios and Root Mean Squared Error up to 63% smaller regarding the univariate models.

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“…• The Sigmoidnet (Ramesh, Shukor, & Aziz 2008) is a simple structure that combines non-linear and linear estimators using a Sigmoid function.…”

Section: Multivariate Modelsmentioning

confidence: 99%

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression

Passos

Lydia²,

Lydia³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Substituting (5) and (6) in to (1a)-(1e), the output of the wavenet based Hammerstein model ( ) is given by…”

Section: Model Structurementioning

confidence: 99%

“…Many model structures have been proposed for the identification of distillation column such as NARX model [4,5], Hammerstein model [6], and Weiner model [7]. The nonlinear static block followed by a linear dynamic block in the Hammerstein model has been considered as alternative to linear models in a number of chemical process applications such as distillation columns [6], heat exchangers [1], and CSTR [8].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to the Identification of Distillation Column Based on Hammerstein Model

Kanthasamy

Hisyam

Sinnadurai

2014

Modelling and Simulation in Engineering

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Developing a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers to distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function, followed by a linear dynamic element described by the Output Error(OE) model was used in this study to represent the nonlinear dynamics of the distillation column. The model parameters were identified using iterative prediction-error minimization method. The model validation results proved that the Hammerstein model was capable of capturing the nonlinear dynamics of distillation column.

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Model Analysis of Heat Transfer by Hammerstein systems and optical instrumentation

et al. 2019

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Development of Sigmoidnet Based NARX Model for a Distillation Column

Cited by 8 publications

References 16 publications

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression

A New Approach to the Identification of Distillation Column Based on Hammerstein Model

Model Analysis of Heat Transfer by Hammerstein systems and optical instrumentation

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