Data‐driven modeling based on kernel extreme learning machine for sugarcane juice clarification
Author:
Affiliation:
1. College of Mechanical Engineering Guangxi University Nanning China
2. Energy, Commonwealth Scientific and Industrial Research Organisation Pullenvale Queensland Australia
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.985
Reference29 articles.
1. Measurement and estimation of vapor–liquid equilibrium for industrial sugar juice using the Peng–Robinson equation of state
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4. Product Quality Monitoring Using Extreme Learning Machines and Bat algorithms: A Case Study in Second-Generation Ethanol Production
5. Assessment of variables effects on sugar cane juice clarification by carbonation process
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