Analysis on Development of Advanced Prediction on Flood Disaster Management
Satwik P M, Dr. Menatchi Sundram
Flood Disaster, OGD (Open Government Data), Radial Bias Function (RBF)
Massive and persistently precipitation will cause floods. Floods can make individuals' exercises in the zone be hampered. With the innovation that develops quickly, individuals can get data without any problem. This Final Project is made to give data about the aftereffect of floods forecast utilizing an innovation called Internet of Things (IoT). This floods expectation is utilizing Radial Basis Function. The information will be taken from Open Government Data (OGD) Platform India. The Information that utilized from Open Government Data (OGD) Platform India is precipitation and stream water charge. The outcome from Radial Basis Function Neural System will be sent to an android application that shows the chance of flooding. Utilizing age so a lot as 700 giving blunder estimation of TMA equivalent to 0.027 and mistake estimation of CH equivalent to 0.002, a learning pace of 0.00007 giving blunder estimation of TMA equivalent to 0.286 and mistake esteem CH equivalent to 0.002, and a concealed neuron of 2 giving blunder esteem of TMA equivalent to 0.6483 and blunder estimation of CH equivalent to 15.999 can be utilized to anticipate the flooding.