Volume : 3, Issue : 3, JUL 2019

A SURVEY ALONG THE UTILIZATION OF ARRANGED NEURONIC SCHEME TO THE FLOOD PROBABILITY CATEGORIZATION

M Nasreen, A Charles

Abstract

Flood Probability Categorization is one of the most destructible natural anatomical composition for the human being. Based on the water level prediction an uncertain area for peculiar period of time, will be used to prognosticate flood risk factors. Currently, ANN plays a vital role in natural disaster risk assessments. The feed foremost algorithmic program and back procreation algorithm were used to prognosticate flood establishment. It uses several hidden nodes to analyze the risk factors. It provides training and testing risk factors based on mathematical models. The flood-related risk factors are given as an input to the NN, which processed on the proposed algorithms and finally provide a better prediction.a

Keywords

Natural Disaster, Water Level Prediction, Risk factors, Artificial Neural Network, Feed Forward Algorithm, Back Propagation Algorithm, Mathematical Model.

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