Title of article
STUDY ON THICKNESS OF TWO-WAY SLAB BY ARTIFICIAL NEURAL NETWORK
Author/Authors
Alam، J.B. نويسنده , , Sarkar، C.K. نويسنده , , Ahmed، E.U. نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2007
Pages
-572
From page
573
To page
0
Abstract
In this paper, an attempt has been taken to find out optimum thickness of edge-supported slabs. To arrive at optimum solution using artificial neural network based on back-propagation network, a number of architectures such as 5-15-25-35-45-55-5; 5-25-35-45-55-65-85-105-5 and 5-35-45-65-75-85-5 with different number of hidden layers and hidden nodes or neuron were tried. Among them, 5-25-35-45-55-65-85-105-5 is found to have the least errors.
Keywords
Honeycomb , RC beam , Laplacian , simplified laplacian , geometric mean , Modal analysis
Journal title
Asian Journal of Civil Engineering (Building and Housing)
Serial Year
2007
Journal title
Asian Journal of Civil Engineering (Building and Housing)
Record number
108212
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