Using Artificial Intelligence and computation Enhanced apply in neural network

Ibrahim Farouq  Varouqa

doi:10.6180/jase.202110_24(5).0011

Using Artificial Intelligence and computation Enhanced apply in neural network

Ibrahim Farouq Varouqa This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹Department of Civil Engineering, Isra University, Faculty of Engineering, Amman, Jordan

Received: March 9, 2021
Accepted: April 1, 2021
Publication Date: October 1, 2021

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202110_24(5).0011

ABSTRACT

The present study focuses on the optimization techniques to minimize time and cost in prefabricated constructions. Artificial Neural Networks (ANNs) are used for optimization, due to their ability to resolve qualitative and quantitative problems encountered in the construction industry. In an ANN, the input layer, hidden layer, and output layer are performed based on the weight of the hidden layer. The layers are optimized by using various optimization techniques. In the construction management, ANN covers an extensive part of the problems such as cost estimation, decision making, predicting the percentage of markup, and production rate in the construction industry. The fundamental benefit of prefabricated methodology is the quick completion of the process. The other genuine advantage of the prefabrication process is its inbuilt flexible nature. The success of any construction firm depends on the projects completed within a stipulated time frame and at the agreed cost. The construction industry is comprises of prefabrication manufacturing companies, logistics parties, on-site construction fields, and so on.

Keywords: Artificial Intelligence; Enhanced sensor; project management; neural network

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