IJERT-EMS
IJERT-EMS

Empirical Testing Of The Neural Network Application Using Feedforward Testing Method


Empirical Testing  Of  The Neural Network Application Using Feedforward Testing  Method
Authors : Manoj Kumar Panda
Publication Date: 29-05-2013

Authors

Author(s):  Manoj Kumar Panda

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 6 (June - 2013)

e-ISSN:   2278-0181

Abstract

In the sofware testing methodology there is a revolution and in the field of testing that how to conduct a successful testing and the testing shall be done in such a way that error free product to be launched in the market and the contemporary software services and product organizations should follow a different kind of software testing methodologies . we propose the feedforward testing mothod which can be used extensively in the field the field of neural network softwares in the proposed system first we should understan the feed forward neural network here each nuron has capacity to give a positive and negative signals to to the middle layer and in the middle layer the actual processing work must happen and all the posibility of output must be stored in a vector and all the possibility of vectors the strongest output including the threshold must be taken into account and the out put will come out whether positive or negative .hence the testing must consider all the possible patterns

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     500
Similar-Paper

High Impact & Top Rated International Journal

        Call for Papers - March - 2017  

             Click here for more details