HIGHLIGHTS
- who: Strength and collaborators from the Shahid Beheshti University, Tehran, Iran- ORCID:, a, b have published the research work: v.26 n.2 Nazerian1a+ Gargarii2a Vatankhah1b EVALUATION OF MECHANICAL and FLAME RETARDANT PROPERTIES OF MEDIUM DENSITY FIBERBOARD USING ARTIFICIAL NEURAL NETWORK, in the Journal: (JOURNAL)
- what: This study presents the application of artificial neural network (ANN) to predict the modulus of rupture (MOR) and_(ML) of the retarded fiberboard. The results of the study showed that MOR changes significantly as the press temperature and the type and level of the fire retardants change.
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