Article ID: | iaor201110673 |
Volume: | 62 |
Issue: | 10 |
Start Page Number: | 3796 |
End Page Number: | 3811 |
Publication Date: | Nov 2011 |
Journal: | Computers and Mathematics with Applications |
Authors: | Kumar Manoj, Yadav Neha |
Keywords: | heuristics |
Since neural networks have universal approximation capabilities, therefore it is possible to postulate them as solutions for given differential equations that define unsupervised errors. In this paper, we present a wide survey and classification of different Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural network techniques, which are used for solving differential equations of various kinds. Our main purpose is to provide a synthesis of the published research works in this area and stimulate further research interest and effort in the identified topics. Here, we describe the crux of various research articles published by numerous researchers, mostly within the last 10 years to get a better knowledge about the present scenario.