STUDY ON THICKNESS OF TWO-WAY SLAB BY ARTIFICIAL NEURAL NETWORK

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.