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Number 11

Implementation of Neural Network in Cost Factors of E-Advertisement

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  • Shilpi Bansal and B. K. Sharma 2014. Implementation of Neural Network in Cost Factors of E-Advertisement. International Journal of Applied Information Systems. 7, 11 (November 2014), 15-17. DOI=http://dx.doi.org/10.5120/ijais451253 
  • @article{10.5120/ijais2017451568,
author = {Shilpi Bansal and B. K. Sharma},
title = {Implementation of Neural Network in Cost Factors of E-Advertisement},
journal = {International Journal of Applied Information Systems},
issue_date = {November 2014},
volume = {7},
number = {},
month = {November},
year = {2014},
issn = {},
pages = {15-17},
numpages = {},
url = {/archives/volume7/number11/694-1253},
doi = { 10.5120/ijais14-451253},
publisher = { xA9 2013 by IJAIS Journal},
address = {}
}

  • %1 451253
%A Shilpi Bansal
%A B.  K.  Sharma
%T Implementation of Neural Network in Cost Factors of E-Advertisement
%J International Journal of Applied Information Systems
%@ 
%V 7
%N 
%P 15-17
%D 2014
%I  xA9 2013 by IJAIS Journal

Abstract

As the complexity of modern server processors increases so the validation challenges. Current design validation methods cover less, resulting in bug escape and more regress post-silicon validation. The biggest problem is manual debugging of several failures by large number of test cases. By using machine learning in server validation, validation efforts and resource requirement will reduce. Validation of future generation server will be done through the learning set generated from the previous generation device, which is a set of test cases being passed.

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Keywords

E-Advertisements, Neural Networks, Price Models

Index Terms

Computer Science
Information Sciences