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®).
|Title of host publication||Annual Meeting of the Pulp and Paper Technical Association of Canada|
|Publication status||Published - 2005|
|Event||Annual Meeting of the Pulp and Paper Technical Association of Canada - Montréal|
Duration: 1 Jan 2005 → …
|Conference||Annual Meeting of the Pulp and Paper Technical Association of Canada|
|Period||01/01/2005 → …|