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Performance Indices of Soft Computing Models to Predict the Heat Load of Buildings in Terms of Architectural Indicators

Cihan Turhan, Tuğçe Kazanasmaz, Gülden Gökçen Akkurt
Journal of Thermal Engineering · Papers
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fuzzy-logic
This study estimates the heat load of buildings in Izmir/Turkey by three soft computing (SC) methods; Artificial Neural Networks (ANNs), Fuzzy Logic (FL) and Adaptive Neuro-based Fuzzy Inference System (ANFIS) and compares their prediction indices. Obtaining knowledge about what the heat load of bui
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