Enhance Estimation Results Using Neuro Fuzzy Modeling techniques & Black Box Adaptation

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 5
Year of Publication : 2016
Authors : Mr.N.Suresh, Dr.D.Manimegalai

How to Cite?

Mr.N.Suresh, Dr.D.Manimegalai, "Enhance Estimation Results Using Neuro Fuzzy Modeling techniques & Black Box Adaptation," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 5, pp. 31-33, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I5P105


Present Estimation techniques does not gives desirable results with present COCOMO models, normal neural networks etc. These techniques are expensive and time taken process in estimation of metrics results. Its gives some errors result. These errors show with covariance matrices representation process. These error estimation results give the good guidance to control the errors in previous projects. Now here we introduce neuro fuzzy modeling technique in estimation of cost and size. New estimation approach works based on black box adaptation. In each and every stage apply the statistical performance identification. Statistical performance identification works as a prediction model. These types of prediction models are gives the good guidance to enhance the estimation of performance results in implementation. Using neuro fuzzy modeling start the empirical process show the good efficiency compares to previous all techniques.


Black box adaptation, neuro fuzzy modeling, margin technology.


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