# Artificial Neural Networks in Construction Engineering and Management

@inproceedings{Waziri2017ArtificialNN, title={Artificial Neural Networks in Construction Engineering and Management}, author={Baba Shehu Waziri and Kabir Bala and Shehu Ahmadu Bustani}, year={2017} }

Artificial Neural Networks has gained considerable application in construction engineering and management in recent time. Over 100 resources published in refereed journals and conference proceedings were screened and reviewed with the view to exploring the trend and new directions of the applications of different ANN algorithms. The study revealed successful applications of ANNs in cost prediction, optimization and scheduling, risk assessment, claims and dispute resolution outcomes and decisionâ€¦Â Expand

#### 18 Citations

TO STUDY COST PREDICTION ANALYSIS OF CONSTRUCTION PROJECT USING ANN MODEL (ARTIFICIAL NEURAL NETWORK) and SVM BY MATLAB

- Computer Science
- 2020

The objective of this paper is to develop neural networks and multilayer perceptron based model for construction cost prediction and results are clearly provided a good indicator for predicting the construction buildings costs in the future with high degree of accuracy. Expand

Design of building construction safety prediction model based on optimized BP neural network algorithm

- Computer Science
- Soft Comput.
- 2020

The results showed that the model accurately predicted the risk factors during the construction process and effectively reduced casualties, therefore, the model is feasible, effective and accurate. Expand

An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects

- Computer Science
- 2020

The instrumentality of the artificial neural networks in this study enabled the development of a structured decision-support methodology for analysing the most appropriate PCCTs to be deployed to different construction process phases, showcasing the utility of the emergent ANN-based decision support methodology. Expand

PREDICTION OF CONSTRUCTION COST BY NEURAL NETWORK

- 2021

Cost estimation is associate experience-based task, that involves evaluations of unknown circumstances and sophisticated relationships of cost-influencing factors. a man-made neural network (ANN) isâ€¦ Expand

Resource planning of the railway facilities construction technological process with the use of an artificial neural network

- Computer Science
- Russian journal of transport engineering
- 2021

A methodology and a railway facilities construction technological process resource planning (labor, technical) computational-logical model with the artificial neural network use were developed, based on the lack of precise algorithmic actions or rules that can provide the desired result without formal complications. Expand

An ANN Model Trained on Regional Data in the Prediction of Particular Weather Conditions

- 2021

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature,â€¦ Expand

The Artificial Power System Networks Stability Control Using the Technology of Neural Network

- Computer Science
- E3S Web of Conferences
- 2019

The electric voltage stability at Muharda station in Syria was studied during the normal and up to normal loading states using artificial neural network, which consists of three layers (input-hidden-output), characterized by the speed and accuracy in processing before failure and supply turn-off. Expand

Application of Artificial Neural Networks in Assessing Mining Subsidence Risk

- Geology
- 2020

Subsidence at abandoned mines sometimes causes destruction of local areas and casualties. This paper proposes a mine subsidence risk index and establishes a subsidence risk grade based on twoâ€¦ Expand

Safety assessment in megaprojects using artificial intelligence

- Computer Science
- Safety Science
- 2019

An innovative safety assessment methodology to predict the possible scenarios and determine preventative actions to eliminate safety failures is proposed and can assist construction industry professionals in examining future safety problems by utilizing the collected large scale data. Expand

Proposed Risk Management Decision Support Methodology for Oil and Gas Construction Projects

- Business
- 2020

Oil and gas construction projects are complex and risky due to their dynamic nature and environment, as they involve a considerable number of stakeholders. The contracting companies in Iraq find manyâ€¦ Expand

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