APPLYING MACHINE INTELLIGENCE TECHNIQUE TO STUDY RADON EXHALATION FROM SOIL

Abstract

A model has been prepared under KERAS, an artificial neural network software under PYTHON, to predict radon exhalation rate from soil due to its emission from radium, a radioactive material present in the soil which in turn originates from the decay of uranium, another radioactive material. The model has been built under machine intelligence technique using artificial neural network algorithm with the data set obtained from the radon study conducted in the Brahmaputra valley of Assam. The model not only predicts exhalation rate of radon of our own data set but also do the same for other region where similar study has been conducted by other workers.