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Impact of Sethu Samudram Ship Canal Project on Marine Traffic - An Artificial Neural Network Modelling

机译:濑户Samudram船渠项目对海上交通的影响-人工神经网络建模

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摘要

This paper serves as an introduction to artificial neural network ANN with emphasis on their application in Transportation Engineering. It presents a brief description of ANN, the underlaying concept and mathematical aspects and the role of ANN relative to other modelling approaches in transportation. Some popular ANN architecture and algorithms, and the merits and shortcomings of this methodology are discussed. The artificial neural network in this paper has demonstrated its usefulness and accuracy in predicting the traffic of Tuticorin port, which is going to gets maximum benefits due to the implementation of Sethu Samudram Ship Canal Project. The variation between the measured values and predicted values of traffic is very less, thus, proving that the artificial neural network has correctly predicted the traffic of Tuticorin port.
机译:本文作为人工神经网络ANN的介绍,重点介绍了其在交通运输工程中的应用。它简要介绍了人工神经网络,基本概念和数学方面,以及人工神经网络相对于运输中其他建模方法的作用。讨论了一些流行的人工神经网络架构和算法,以及该方法的优缺点。本文的人工神经网络已经证明了其在预测图蒂戈林港口交通量方面的实用性和准确性,由于实施了Sethu Samudram船渠项目,该方法将获得最大的收益。流量的测量值和预测值之间的变化非常小,因此证明了人工神经网络已正确预测了杜蒂戈林港口的流量。

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