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Artificial Neural Network Based Graphical User Interface for Estimation of Fabrication Time in Rig Construction Project


A. H. Makwana , Government Engineering College, Dahod, India.; D. H. Patel, Government Engineering College, Dahod, India.; A. A. Mehta, Bhagwan Mahavir College of Engg. & Tech., Surat, India.


Fabrication time, Artificial Neural Network, Graphical User Interface, GUI coding.


This paper addresses the problem of estimation of fabrication time in Rig construction projects through application of Artificial Neural Network (ANNs) as this is the most crucial activity for successful project management planning. ANN is a non-linear, data driven, self adaptive approach as opposed to the traditional model based methods, also fast becoming popular in forecasting where relationship between input and output is not known but vast collection of data is available. Around 960 data regarding fabrication activity has been collected from ABG Shipyard Ltd., Dahej. 3 input parameters have been considered for estimation of output as fabrication time. 11 Feed Forward Back Propagation neural networks with different network architectures were made. Network N10 was able to predict the output with MSE 1.35337e-2. Coding was done for the Graphical User Interface (GUI) so that the GUI runs, simulates network N10, and displays the fabrication time for different combination of inputs.

Other Details

Paper ID: IJSRDV1I4047
Published in: Volume : 1, Issue : 4
Publication Date: 01/07/2013
Page(s): 1011-1014

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