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Articles

Comparison of linear regression and artificial neural network technique for prediction of a soybean biodiesel yield

Pages 1425-1435 | Received 09 Sep 2018, Accepted 25 Mar 2019, Published online: 13 Apr 2019

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Read on this site (4)

Sunil Kumar, Mayank Aggrawal, Nishant Kumar & Vikas Deswal. (2022) Optimisation and prediction of Karanja oil transesterification with domestic microwave by RSM and ANN. International Journal of Ambient Energy 43:1, pages 3744-3751.
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Articles from other publishers (18)

Sagar D. Shelare, Pramod N. Belkhode, Keval Chandrakant Nikam, Laxmikant D. Jathar, Kiran Shahapurkar, Manzoore Elahi M. Soudagar, Ibham Veza, T.M. Yunus Khan, M.A. Kalam, Abdul-Sattar Nizami & Mohammad Rehan. (2023) Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production. Energy 282, pages 128874.
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Sunil Kumar, Jasbir Singh, Vivudh Fore & Amrish Kumar. (2023) Performance evaluation of ANFIS, ANN and RSM in biodiesel synthesis from Karanja oil with Domestic Microwave set up. Multimedia Tools and Applications 82:27, pages 42509-42525.
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Brihaspati Singh, Anmesh Kumar Srivastava & Om Prakash. (2023) Performance, Emission and Heat Transfer Optimisation of Variable Compression Ratio Engine Fuelled with Ricinus communis Biodiesel by Taguchi-Gray Rational Approach. Process Integration and Optimization for Sustainability 7:4, pages 813-829.
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Abhirup Khanna, Bhawna Yadav Lamba, Sapna Jain, Vadim Bolshev, Dmitry Budnikov, Vladimir Panchenko & Alexandr Smirnov. (2023) Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm. Sustainability 15:12, pages 9785.
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Maria Hasnain, Zainul Abideen, Shagufta Naz, Ute Roessner & Neelma Munir. (2021) Biodiesel production from new algal sources using response surface methodology and microwave application. Biomass Conversion and Biorefinery 13:7, pages 6213-6228.
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Sunil Kumar, Vivudh Fore, Jasbir Singh, Amrish, Ashish Nainwal & Gorav Kumar Malik. (2023) Comparative study using RSM ANN and SVM modelling for Biodiesel production from Karanja oil by developed microwave set up. Comparative study using RSM ANN and SVM modelling for Biodiesel production from Karanja oil by developed microwave set up.
Veena Patil-Shinde, Vishakha A Lakshete & Shambala Gadekar-Shinde. (2023) Bio-diesel synthesis from waste sunflower oil: Experimental and multilayer perceptron neural network modeling. Materials Today: Proceedings.
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Hulin Jin, Yong-Guk Kim, Zhiran Jin, Anastasia Andreevna Rushchitc & Ahmed Salah Al-Shati. (2022) Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest neighbors, and Artificial neural network models. Energy Reports 8, pages 13979-13996.
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Mandana Mahfeli, Mohammad Zarein, Aliasghar Zomorodian & Hamid Khafajeh. (2022) Investigation of rice performance characteristics: A comparative study of LR, ANN, and RSM. Food Science & Nutrition.
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Ceyla ÖZGÜR. (2022) Prediction and optimization of biodiesel production by using ANN and RSM. International Journal of Automotive Engineering and Technologies 11:2, pages 53-62.
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Srikanth Holalu Venkataramana, Kanchiraya Shivalingaiah, Mahesh Basetteppa Davanageri, Chithirai Pon Selvan, Avinash Lakshmikanthan, Manjunath Patel Gowdru Chandrashekarappa, Abdul Razak, Praveena Bindiganavile Anand & Emanoil Linul. (2022) Niger Seed Oil-Based Biodiesel Production Using Transesterification Process: Experimental Investigation and Optimization for Higher Biodiesel Yield Using Box–Behnken Design and Artificial Intelligence Tools. Applied Sciences 12:12, pages 5987.
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Carlton A. Taft & Jose Gabriel Solano Canchaya. 2022. Research Topics in Bioactivity, Environment and Energy. Research Topics in Bioactivity, Environment and Energy 337 357 .
Iftikhar Ahmad, Adil Sana, Manabu Kano, Izzat Iqbal Cheema, Brenno C. Menezes, Junaid Shahzad, Zahid Ullah, Muzammil Khan & Asad Habib. (2021) Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions. Energies 14:16, pages 5072.
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Yuanzhi Xing, Zile Zheng, Yike Sun & Masoome Agha Alikhani. (2021) A Review on Machine Learning Application in Biodiesel Production Studies. International Journal of Chemical Engineering 2021, pages 1-12.
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Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, Soteris A. Kalogirou, Salman Soltanian, Homa Hosseinzadeh-Bandbafha, Omid Mahian & Su Shiung Lam. (2021) Machine learning technology in biodiesel research: A review. Progress in Energy and Combustion Science 85, pages 100904.
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Ceyla ÖZGÜR. (2021) Soya ve Mısır Yağından Biyodizel Üretiminin Yanıt Yüzey Metodu Kullanılarak OptimizasyonuUsing Response Surface Methodology to Optimize Biodiesel Production from Soybean and Corn Oil. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 36:1, pages 197-206.
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B. Devaraj Naik & M. Udayakumar. (2021) Comparative assessment of response surface methodology and artificial neural networks in forecasting biodiesel yield from waste cooking sunflower oil. Materials Today: Proceedings 46, pages 9908-9913.
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Kiran Raj Bukkarapu & Anand Krishnasamy. Fourier Transform Infrared Spectroscopy Models to Predict Cetane Number of Different Biodiesels and Their Blends. Fourier Transform Infrared Spectroscopy Models to Predict Cetane Number of Different Biodiesels and Their Blends.

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