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

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ALAM J.B.; SARKAR C.K.; AHMED E.U.

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Paper Information

Journal: ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING) Year:2007 | Volume:8 | Issue:5 Page(s): 573-579

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Information Journal Paper

Title

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

Author(s)

ALAM J.B. | SARKAR C.K. | AHMED E.U. | Issue Writer Certificate

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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.

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APA: Copy

ALAM, J.B., SARKAR, C.K., & AHMED, E.U.. (2007). STUDY ON THICKNESS OF TWO-WAY SLAB BY ARTIFICIAL NEURAL NETWORK. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 8(5), 573-579. SID. https://sid.ir/paper/298753/en

Vancouver: Copy

ALAM J.B., SARKAR C.K., AHMED E.U.. STUDY ON THICKNESS OF TWO-WAY SLAB BY ARTIFICIAL NEURAL NETWORK. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2007;8(5):573-579. Available from: https://sid.ir/paper/298753/en

IEEE: Copy

J.B. ALAM, C.K. SARKAR, and E.U. AHMED, “STUDY ON THICKNESS OF TWO-WAY SLAB BY ARTIFICIAL NEURAL NETWORK,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 8, no. 5, pp. 573–579, 2007, [Online]. Available: https://sid.ir/paper/298753/en

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