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Refinado por: Nome da Publicação: Bioresource Technology remover
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1
Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
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Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms

Khan, Muzammil ; Ullah, Zahid ; Mašek, Ondřej ; Raza Naqvi, Salman ; Nouman Aslam Khan, Muhammad

Bioresource technology, 2022-07, Vol.355, p.127215-127215, Article 127215 [Periódico revisado por pares]

England: Elsevier Ltd

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2
Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process
Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process
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Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process

Witek-Krowiak, Anna ; Chojnacka, Katarzyna ; Podstawczyk, Daria ; Dawiec, Anna ; Bubała, Karol

Bioresource technology, 2014-05, Vol.160, p.150-160 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant
Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant
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Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant

Sivapathasekaran, C. ; Mukherjee, Soumen ; Ray, Arja ; Gupta, Ashish ; Sen, Ramkrishna

Bioresource technology, 2010-04, Vol.101 (8), p.2884-2887 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network
Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network
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Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network

Vinoth Arul Raj, J. ; Praveen Kumar, R. ; Vijayakumar, B. ; Gnansounou, Edgard ; Bharathiraja, B.

Bioresource technology, 2021-06, Vol.329, p.124872-124872, Article 124872 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling
Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling
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Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling

Chen, Jiacong ; Liu, Jingyong ; He, Yao ; Huang, Limao ; Sun, Shuiyu ; Sun, Jian ; Chang, KenLin ; Kuo, Jiahong ; Huang, Shaosong ; Ning, Xunan

Bioresource technology, 2017-02, Vol.225, p.234-245 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Co-pyrolysis of sewage sludge and waste tobacco stem: Gas products analysis, pyrolysis kinetics, artificial neural network modeling, and synergistic effects
Co-pyrolysis of sewage sludge and waste tobacco stem: Gas products analysis, pyrolysis kinetics, artificial neural network modeling, and synergistic effects
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Co-pyrolysis of sewage sludge and waste tobacco stem: Gas products analysis, pyrolysis kinetics, artificial neural network modeling, and synergistic effects

Ma, Chaowei ; Zhang, Fengxia ; Hu, Jianhang ; Wang, Hua ; Yang, Shiliang ; Liu, Huili

Bioresource technology, 2023-12, Vol.389, p.129816-129816, Article 129816 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Back propagation neural network modelling of biodegradation and fermentative biohydrogen production using distillery wastewater in a hybrid upflow anaerobic sludge blanket reactor
Back propagation neural network modelling of biodegradation and fermentative biohydrogen production using distillery wastewater in a hybrid upflow anaerobic sludge blanket reactor
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Back propagation neural network modelling of biodegradation and fermentative biohydrogen production using distillery wastewater in a hybrid upflow anaerobic sludge blanket reactor

Sridevi, K. ; Sivaraman, E. ; Mullai, P.

Bioresource technology, 2014-08, Vol.165, p.233-240 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste
Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste
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Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste

Sharma, Dayanand ; Pandey, Ashutosh Kumar ; Yadav, Kunwar Durg ; Kumar, Sunil

Bioresource technology, 2021-03, Vol.324, p.124672-124672, Article 124672 [Periódico revisado por pares]

England: Elsevier Ltd

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9
Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm
Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm
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Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm

Zhang, Xueting ; Zhang, Quanguo ; Li, Yameng ; Zhang, Huan

Bioresource technology, 2023-04, Vol.374, p.128789-128789, Article 128789 [Periódico revisado por pares]

England: Elsevier Ltd

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10
Biosorption of Acid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: Kinetic study, equilibrium isotherm and artificial neural network modeling
Biosorption of Acid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: Kinetic study, equilibrium isotherm and artificial neural network modeling
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Biosorption of Acid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: Kinetic study, equilibrium isotherm and artificial neural network modeling

Yang, Yuyi ; Wang, Guan ; Wang, Bing ; Li, Zeli ; Jia, Xiaoming ; Zhou, Qifa ; Zhao, Yuhua

Bioresource technology, 2011, Vol.102 (2), p.828-834 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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