کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
247520 502431 2007 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of a PSO-based neural network in analysis of outcomes of construction claims
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Application of a PSO-based neural network in analysis of outcomes of construction claims
چکیده انگلیسی

It is generally acknowledged that construction claims are highly complicated and are interrelated with a multitude of factors. It will be advantageous if the parties to a dispute have some insights to some degree of certainty how the case would be resolved prior to the litigation process. By its nature, the use of artificial neural networks (ANN) can be a cost-effective technique to help to predict the outcome of construction claims, provided with characteristics of cases and the corresponding past court decisions. This paper presents the adoption of a particle swarm optimization (PSO) model to train perceptrons in predicting the outcome of construction claims in Hong Kong. It is illustrated that the successful prediction rate of PSO-based network is up to 80%. Moreover, it is capable of producing faster and more accurate results than its counterparts of a benchmarking back-propagation ANN. This will furnish an alternative in assessing whether or not to take the case to litigation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 16, Issue 5, August 2007, Pages 642–646
نویسندگان
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