首页|Shaoguan University Researcher Has Published New Study Findings on Support Vector Machines (Comparative models of supportvector machine, multilayer perceptron, and decision tree predication approaches for landslide susceptibility analysis)
Shaoguan University Researcher Has Published New Study Findings on Support Vector Machines (Comparative models of supportvector machine, multilayer perceptron, and decision tree predication approaches for landslide susceptibility analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on is the subject of a ne w report. According to news reporting out of Guangdong, People’s Republic of Chi na, by NewsRx editors, research stated, “Naqadeh Region (NR) is one of the most sensitive regions regarding geo-hazards occurrence in Northwest of Iran. The lan dslides triggering parameters that identified for the studied region are classif ied as elevation, aspect, slope angle, lithology, drainage density, distance to river, weathering, land-cover, precipitation, vegetation, distance to faults, di stance to roads, and distance to the cities.”
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