OPTIMIZATION TECHNIQUE FOR SOFTWARE COST ESTIMATION USING NEURAL NETWORK


Sam Dhana Sekar, Askarunisa A

Abstract


Last few decade software accomplishment admiration models developed, authentic estimates of the software activity beneath development is still unachievable goal. Recently advisers are alive on the development of new models and the advance of the absolute ones application bogus intelligence techniques. Designing of ANN (Artificial Neural Network) to archetypal a circuitous set of accord amid the abased capricious (effort) and the absolute variables (cost drivers) makes an apparatus for estimation. This cardboard presents an achievement assay of Multi ANNs in accomplishment estimation. We accept apish Back propagation ANN created by MATLAB Neural Network Apparatus application NASA dataset.


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References


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About this article

Title

OPTIMIZATION TECHNIQUE FOR SOFTWARE COST ESTIMATION USING NEURAL NETWORK

Date

01-10-2014

Additional Links

Manuscript Submission

Journal

Innovare Journal of Engineering & Technology
Vol 2 Issue 4 2014 (October-December) Page: 5-9

Online ISSN

2347-1573

Statistics

238 Views | 220 Downloads

Authors & Affiliations

Sam Dhana Sekar
Anna University
India

Askarunisa A
anna university
India


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