OPTIMIZATION TECHNIQUE FOR SOFTWARE COST ESTIMATION USING NEURAL NETWORK
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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