AVALANCHE FORECASTING USING MACHINE LEARNING
Authors:
K. Sravani, N. Uma,J. Renna Princy,M. Kalipriya,G. Naga Pavani
Page No: 8-12
Abstract:
The main theme is to predict the range of the snow whether it is wet avalanche, dry slab avalanche, dry avalanche and loose avalanche. This project is about predicting the range of the snow based on the parameters like wind, air. It is a complex process which involves the to predict probably to speculate certain specifications that are changing constantly. We predict the output using the Decision Tree algorithm. We apply this algorithm to the dataset. Dataset is formed by studying, the factors affecting avalanche. By put in application the Decision Tree algorithm we will be able to predict the output. Using this we can save the lives of the people who live in the snow regions. In this the user should enter the values of the required specifications.
Description:
Avalanche forecasting, Weather conditions, Decision tree algorithm, Decision nodes, Chance nodes, End nodes
Volume & Issue
Volume-12,ISSUE-3
Keywords
.