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Neural Network-Based Predictive Cost Model for Building Works   Lekan Amusan

Neural Network-Based Predictive Cost Model for Building Works

328 страниц. 2012 год.
LAP Lambert Academic Publishing
Project abandonment as a result of forecasting has stimulated in recent times the stakeholders request for project costs implication.However,traditional methods used in the past in cost determination does not often captured intervening variables that impact cost as project progresses, which results in inaccurate cost determination.Therefore paradigm should shift in favor of a system that can accommodate economic variants which usually influence price movement on construction work. It is on this premise that an expert system(neural network) was used in this book to formulate a cost prediction model for building works. Background was created for the comparison of traditional and expert application exploring their methods, concept and application.Artificial Neural Network was used to generate a model which was adjudged to be of very good predictive ability and low Mean Square Error value with different data ports and validation modules. The presentation illustrate practical application...
 
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