recognition equal units and segregation them and upshot planning per units most basic method for management forest units. aim this study presentation and comparison classification and regression tree (cart) and random forest (rf) algorithm for forest type mapping using aster satellite data in district one didactic and research forest's darabkola. in start using inventory network 500* 350 m...

Random forest method is one of the most widely applied classification algorithms at present. From the actual big data scene and requirements, the application of random forest method in the big data environment to conduct in-depth study. Due to the big data needs to process a huge number of features at the same time, and the data pattern changes constantly over time, the accuracy of a random for...

Forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. Traditional methods such as field surveys are almost time-consuming and cost-intensive. Improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. This research co...

Tornadoes are highly destructive small-scale extreme weather processes in the troposphere. The radar is one of most effective remote sensing devices for monitoring and early warning tornadoes. existing tornado detection algorithms based on data unsupervised have strict multi-altitude constraints, such as algorithm vortex signatures (TDA-TVS), which may lead to high false alarm rates, performanc...

With the introduction of artificial intelligence into our lives, researches and applications in different fields such as agriculture, health, military engineering have become very popular iris flower was classified using Random Forest, support vector machine Artificial neural network learning classifiers with high accuracy rates. As a result classification, performance trained models evaluated ...

The price of a new car in the industry is fixed by manufacturer with some additional costs incurred Government form taxes. So, customers buying can be assured money they invest to worthy. But, due increased prices cars and financial incapability buy them, used sales are on global increase. Therefore, there an urgent need for prediction system which effectively determines worthiness based multip...

Recursive partitioning is the core of several statistical methods including Classification and Regression Trees, Random Forest, and AdaBoost. Despite the popularity of tree based methods, to date, there did not exist methods for combining multiple trees into a single tree, or methods for systematically quantifying the discrepancy between two trees. Taking advantage of the recursive structure in...