Application of neural networks in resolution of disputes for escalation clause using neuro-solutions

Increasing scope and complexity of construction industry, results into clashes of interests among the parties to the contract. Clashes lead to claims which may culminate into disputes. Project duration being considerable, escalation forms one of the reasons for occurrence of disputes. Dispute resolution consumes valuable time and money of the parties involved. Hence a faster, convenient and cheaper method needs to be evolved. This study throws light on the possibility of implementing neural networks in resolving disputes arising out of escalation claims. For this, factors influencing the decisions for escalation claims are identified and Neuro-solutions is implemented for network building. Various iterations help to assess the effect of change in network parameters. Comparison of their results is made in the study giving an optimum combination of parameters for effective resolution of escalation disputes using neural network. The approach is demonstrated to be a feasible alternative and the network is able to give a very high prediction rate.