Abstract
Neuro-fuzzy Hybrid System for Monitoring Wood Moisture Content During Drying
Highlights
Drying is an important step before wood can be used (Cavalcante et al, 2016)
Two neuro-fuzzy systems were developed to monitor wood moisture, the first based on the genetic material and drying period and the second based on basic density and drying period
Density showed relationship with wood moisture during the study period. Both systems have the potential to monitor moisture, neuro-fuzzy system based on basic density and drying period showed better results and is more suitable
Summary
All fresh cut timber has great amount of water (Brand et al, 2011; Zanuncio et al, 2014) This hampers wood transport (Zanuncio et al, 2017) and use for power generation (Swithenbank et al, 2011). Environmental factors such as temperature, relative humidity and air speed (Bedane et al, 2011; Korkut et al, 2013) and wood factors, such as anatomical structure (Moya et al, 2012), basic density (Costa et al, 2014) and size (Zanuncio et al, 2015) influence wood drying. Many factors considered in wood drying make the wood behavior difficult to monitor
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