Data-driven Method for Pulp Properties Estimation in Stock Preparation

Pulp properties are key factors to assessing the performance of a refining process, evaluating operational conditions, and optimizing the process of stock preparation. This paper presents a data-driven approach to estimate the beating degree and wet weight of pulp after refining using case-based rea...

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Bibliographic Details
Main Authors: Xiangyu Zhang, Jigeng Li, Yanzhong Zhang, Wei Cai, Huanbin Liu
Format: Article
Language:English
Published: North Carolina State University 2016-04-01
Series:BioResources
Subjects:
Online Access:http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_2_4947_Zhang_Pulp_Properties_Estimation_Stock_Preparation