Researcher at Northeast Forestry University Releases New Study Findings on Networks (Detection of moisture content in logs using multi-parameter GPR signal analysis and neural network models)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New studyresults on networks have been published. According to news reporting out of Harbin, People’s Republic ofChina, by NewsRx editors, research stated, “To address the low accuracy of non-destructive detection ofmoisture content (MC) of logs (especially in small diameters) by ground penetrating radar (GPR) signals,the MC of 10-15 cm diameter spruce, Manchurian ash, and white birch logs were predicted using thetime-frequency parameters of the GPR signals and a back-propagation neural network (BPNN) model.”