İzmir Yüksek Teknoloji Enstitüsü
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Determining Attribute Weights in a Cbr Model for Early Cost Prediction of Structural Systems
This paper compares the performance of three optimization techniques, namely feature counting, gradient descent, and genetic algorithms (GA) in generating attribute weights that were used in a spreadsheet-based case based reasoning (CBR) prediction model. The generation of the attribute weights by u
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