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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 32, 2010 - Issue 16
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Original Articles

Prediction of Acid Values of Vegetable Oils Having High Free Fatty Acids Using Artificial Neural Networks

M. Satyanarayana Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut, India
&
C. Muraleedharan Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut, India
Pages 1479-1489 | Received 10 Nov 2008, Accepted 27 Jan 2009, Published online: 23 Jun 2010

Citations (6)

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Read on this site (1)

A. K. Manshad & H. Rostami. (2015) Prediction of Wax Precipitation in Crude Oil Systems Using Gaussian Processes. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37:1, pages 84-91.
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Articles from other publishers (5)

Junaid Ahmad, Muhammad Awais, Umer Rashid, Chawalit Ngamcharussrivichai, Salman Raza Naqvi & Imtiaz Ali. (2023) A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques. Fuel 338, pages 127379.
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Ankita Juneja, Chinmay Kurambhatti, Deepak Kumar & Vijay Singh. (2022) Techno-Economic Evaluation of Phosphorous Recovery in Soybean Biodiesel Process. Processes 10:8, pages 1512.
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Jude A. Okolie, Jorge Ivan Escobar, Great Umenweke, Waheed Khanday & Patrick U. Okoye. (2022) Continuous biodiesel production: A review of advances in catalysis, microfluidic and cavitation reactors. Fuel 307, pages 121821.
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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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K. Shahbaz, S. Baroutian, F.S. Mjalli, M.A. Hashim & I.M. AlNashef. (2012) Densities of ammonium and phosphonium based deep eutectic solvents: Prediction using artificial intelligence and group contribution techniques. Thermochimica Acta 527, pages 59-66.
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