The Parametric Analysis of Tall Building was conducted based on Artificial Neural Network using MATLAB software. The data for 10 models were taken as a parameter for conducting the study. The models were prepared, analyzed and designed using SAP2000. Minimum no. of floors of a building to be called a tall building were assumed to be 9 floors. The architectural and structural data from SAP2000 were used as input training, input testing, target output and target testing data for training a network. The Artificial Neural Network (ANN) trained, gives certain values for prediction and compares with the target values, which later showed the spectrum of errors. The error helps to differentiate how much the predicted values deviates from the target values. A promising agreement is reached after the study in terms of the comparison between the output values.
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1 June 2023
INTERNATIONAL CONFERENCE ON MECHANICAL MATERIALS AND RENEWABLE ENERGY (ICMMRE 2022)
11–12 February 2022
Rangpo, India
Research Article|
June 01 2023
Parametric analysis of tall building using artificial neural network
Tamal Ghosh
b)Corresponding author: [email protected]
AIP Conf. Proc. 2786, 020003 (2023)
Citation
Passang Laki Gurung, Tamal Ghosh; Parametric analysis of tall building using artificial neural network. AIP Conf. Proc. 1 June 2023; 2786 (1): 020003. https://doi.org/10.1063/5.0145459
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