Investigation of Two Neural Network Methods in an Automatic Mapping Exercise

Created by Sridhar Dutta, Rajive Ganguli & Biswajit Samanta

Posted by on June 1, 2005 | 0 comments

This paper investigates the performance of two neural network (NN) methods viz. a radial basis function network (RBFN) and a multilayer feed forward network (MFFN) to predict the radioactivity levels at a given test site. A comparative evaluation of the two networks is done using Root mean square error (RMSE), Pearson’s r , Mean error (ME) and Mean Absolute error (MAE). It was found that the RBFN performed marginally better compared to the other method.

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