TY  - JOUR
TI  - Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks
AB  - The treatment with fire-retardant chemicals is the most effective process to protectwood and wood-based products from fire is. Therefore, use of fire-retardant chemicals has beenincreased. However, the fire-retardant chemicals have an effect on other physical, mechanical andsome technological properties of the materials treated with them. In this study, firstly, theretention level prediction model was developed with the artificial neural network (ANN) toexamine the effects of wood species and concentration aqueous solution on the retention levelsof veneers. Then, the effects of wood species, concentration aqueous solution and retention levelon the mechanical properties of plywood were investigated with the mechanical strengthprediction model developed with ANN. The prediction models with the best performance weredetermined by statistical and graphical comparisons. It has been observed that ANN modelsyielded very satisfactory results with acceptable deviations. As a result, the findings of this studycould be employed effectively into the forest products industry to reduce time, energy and costfor empirical investigations.
AU  - ÖZŞAHİN, ŞÜKRÜ
AU  - DEMIR, AYDIN
AU  - AYDIN, ISMAIL
DO  - 10.35229/jaes.825435
PY  - 2020
JO  - JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES
VL  - 5
IS  - 5
SN  - 2548-0006
SP  - 785
EP  - 792
DB  - TRDizin
UR  - http://search/yayin/detay/393680
ER  -