A COMPARATIVE STUDY BETWEEN MULTIVARIATE CALIBRATION AND ARTIFICIAL NEURAL NETWORK IN QUANTIFICATION OF SOYBEAN BIODIESEL
Author:
Publisher
Universidad Autonoma Metropolitana
Subject
General Chemical Engineering
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigation and impact assessment of soybean biodiesel, methyl oleate, and diesel blends on CRDI performance and emissions;Materials Science for Energy Technologies;2024
2. Investigation and Impact Assessment of Soybean Biodiesel, Methyl Oleate, and Diesel Blends on Crdi Performance and Emissions;2023
3. Comparative study of the prediction of electrical energy from a photovoltaic system using the intelligent systems ANFIS and ANFIS-GA;Revista Mexicana de Ingeniería Química;2022-12-10
4. Prediction of the dynamic behavior of a solar chimney by means of artificial neural networks;Revista Mexicana de Ingeniería Química;2022-02-10
5. Supercritical biodiesel production: Feasibility of energy integration with a bioethanol production process;Revista Mexicana de Ingeniería Química;2022-01-17
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