Abstract
The quality of the thermomechanical pulp and paper (TMP) process is influenced by a large number of variables. The influencing variables are generally chosen by the process maker, and they change depending on the raw material feeding the TMP process. In this paper, a genetically generated fuzzy knowledge base (FKB) is used to model the relationship between the wood chips characteristics and the quality of the resulting pulp; measured by the pulp ISO brightness. The learning of the FKBs uses measurements obtained from the chip management system (CMS®).
Original language | English |
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Title of host publication | Annual Meeting of the Pulp and Paper Technical Association of Canada |
Publication date | 2005 |
Pages | 173-176 |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 91st Annual Meeting of the Pulp and Paper Technical Association of Canada - Montréal, Canada Duration: 7 Feb 2005 → 10 Feb 2005 |
Conference
Conference | 91st Annual Meeting of the Pulp and Paper Technical Association of Canada |
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Country/Territory | Canada |
City | Montréal |
Period | 07/02/2005 → 10/02/2005 |