Applications of Neural Network for Resolution of Dispute in Build, Operate, and Transfer (BOT) Project: A Review

Asra Fatima*, T. Seshadri Sekhar**, Bellam Sivarama Krishna Prasad***, Abdul Mannan Hussain****
*,**** Research Scholar, Department of Civil Engineering, GITAM University, Hyderabad, India.
** Professor & Dean, NICMAR, Hyderabad Campus, Hyderabad, India.
*** Professor & HOD, Department of Civil Engineering, GITAM University, Hyderabad, India.
Periodicity:March - May'2017


Infrastructure plays a significant role in the economic development of the country. Most of the infrastructure projects are completed by Public Private Partnerships, of which build-operate-transfer (BOT) is one of the methods. The implementation process of a BOT project involves many parties, including the government, promoter, construction contractor, operating firms, financers, and other parties where dispute are likely to occur, which have to be resolved quickly, otherwise it will turn to be costly in terms of time and cost. Analysis shall be done on the possibility of implementing neural networks in resolution of disputes that arise during the construction phase. For this, various factors affecting the arousal of disputes will be identified and artificial neural networks will be implemented in network building. Different iterations will help to assess the effect of change in network parameters. Comparison of their results will give an optimum combination of parameters for effective resolution of disputes using neural network.


Build, Operate, and Transfer (BOT), Dispute Resolution, Artificial Neural Network

How to Cite this Article?

Fatima, A., Sekhar, S.T., Prasad, B.S.K.,, and Hussain, A.M. (2017). Applications of Neural Network for Resolution of Dispute in Build, Operate, and Transfer (BOT) Project: A Review. i-manager’s Journal on Civil Engineering, 7(2), 34-40.


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