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A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds
A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds
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A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds

Ajala, Olajide Olukayode ; Oyelade, Joel Olatunbosun ; Oke, Emmanuel Olusola ; Oniya, Oluwole Oluwatoyin ; Adeoye, Babatunde Kazeem

Chemical product and process modeling, 2023-08, Vol.18 (4), p.647-655 [Periódico revisado por pares]

Berlin: De Gruyter

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2
Development of binary models for prediction and optimization of nutritional values of enriched kokoro: a case of response surface methodology (RSM) and artificial neural network (ANN)
Development of binary models for prediction and optimization of nutritional values of enriched kokoro: a case of response surface methodology (RSM) and artificial neural network (ANN)
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Development of binary models for prediction and optimization of nutritional values of enriched kokoro: a case of response surface methodology (RSM) and artificial neural network (ANN)

Adeoye, Babatunde Kazeem ; Ajala, Olajide Olukayode ; Oke, Emmanuel Olusola

Chemical product and process modeling, 2023-04, Vol.18 (2), p.313-324 [Periódico revisado por pares]

Berlin: De Gruyter

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3
Modeling of lime production process using artificial neural network
Modeling of lime production process using artificial neural network
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Modeling of lime production process using artificial neural network

Daeichian, Abolghasem ; Shahramfar, Rana ; Heidari, Elham

Chemical product and process modeling, 2022-12, Vol.17 (6), p.655-667 [Periódico revisado por pares]

Berlin: De Gruyter

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4
Separation of HCl/water mixture using air gap membrane distillation, Taguchi optimization and artificial neural network
Separation of HCl/water mixture using air gap membrane distillation, Taguchi optimization and artificial neural network
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Separation of HCl/water mixture using air gap membrane distillation, Taguchi optimization and artificial neural network

Kalla, Sarita ; Baghel, Rakesh ; Upadhyaya, Sushant ; Singh, Kailash

Chemical product and process modeling, 2022-04, Vol.17 (2), p.137-152 [Periódico revisado por pares]

Berlin: De Gruyter

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5
Viscosity prediction of hydrocarbon binary mixture using an artificial neural network-group contribution method
Viscosity prediction of hydrocarbon binary mixture using an artificial neural network-group contribution method
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Viscosity prediction of hydrocarbon binary mixture using an artificial neural network-group contribution method

Nanvakenari, Sara ; Ghasemi, Mitra ; Movagharnejad, Kamyar

Chemical product and process modeling, 2022-06, Vol.17 (3), p.199-211 [Periódico revisado por pares]

Berlin: De Gruyter

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6
Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
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Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm

Williams, Almoruf O. F. ; Akanbi, Oluwaseun D.

Chemical product and process modeling, 2023-06, Vol.18 (3), p.505-519 [Periódico revisado por pares]

Berlin: De Gruyter

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7
Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks
Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks
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Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks

Pássaro, Ana Carolina Moreno ; Mozetic, Tainá Maia ; Schmitz, Jones Erni ; da Silva, Ivanildo José ; Martins, Tiago Dias ; Bresolin, Igor Tadeu Lazzarotto

Chemical product and process modeling, 2019-12, Vol.14 (4) [Periódico revisado por pares]

Berlin: Walter de Gruyter GmbH

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8
Estimator Based Inferential Control of an Ideal Quaternary Endothermic Reactive Distillation with Feed-Forward and Recurrent Neural Networks
Estimator Based Inferential Control of an Ideal Quaternary Endothermic Reactive Distillation with Feed-Forward and Recurrent Neural Networks
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Estimator Based Inferential Control of an Ideal Quaternary Endothermic Reactive Distillation with Feed-Forward and Recurrent Neural Networks

K Mathew, Anish ; Pavan Kumar, M V

Chemical product and process modeling, 2018-06, Vol.13 (2), p.1855 [Periódico revisado por pares]

Berlin: De Gruyter

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9
Prediction of Pressure Drop in Venturi Scrubbers by Multi-Gene Genetic Programming and Adaptive Neuro-Fuzzy Inference System
Prediction of Pressure Drop in Venturi Scrubbers by Multi-Gene Genetic Programming and Adaptive Neuro-Fuzzy Inference System
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Prediction of Pressure Drop in Venturi Scrubbers by Multi-Gene Genetic Programming and Adaptive Neuro-Fuzzy Inference System

Esmaeili, Hadi ; Mohebbi, Ali

Chemical product and process modeling, 2017, Vol.12 (3), p.2 [Periódico revisado por pares]

Berlin: De Gruyter

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10
Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models
Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models
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Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models

Zhang, Jie ; Pantelelis, Nikos G.

Chemical product and process modeling, 2011-08, Vol.6 (2), p.1603-1603 [Periódico revisado por pares]

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