Teaching–learning-based metaheuristic scheme for modifying neural computing in appraising energy performance of building
Authors:
- 28 February 2020
- journal article
- research article
- Published by Springer Nature in Engineering with Computers
- Vol. 37 (4) , 3037-3048
Abstract
No abstract availableKeywords
This publication has 56 references indexed in Scilit:
- A flexibility-based method via the iterated improved reduction system and the cuckoo optimization algorithm for damage quantification with limited sensorsSmart Materials and Structures, 2014
- Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning toolsEnergy and Buildings, 2012
- An Experimental Study on a Photovoltaic/Thermal (PV/T) Air Collector with Direct Coupling of Fans and PanelsEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2012
- Design of planar steel frames using Teaching–Learning Based OptimizationEngineering Structures, 2012
- Cuckoo Optimization AlgorithmApplied Soft Computing, 2011
- Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problemsComputer-Aided Design, 2011
- A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performanceApplied Energy, 2009
- Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy ProcessInternational Journal of Thermal Sciences, 2004
- Artificial neural networks: a tutorialComputer, 1996
- Approximation capabilities of multilayer feedforward networksNeural Networks, 1991