Machine learning in concrete strength simulations: Multi

Provide customers with tailor-made solutions

Machine learning in concrete strength simulations: Multi ...

30/12/2014  Highlights. This comprehensive study used advanced machine learning techniques to predict concrete compressive strength. Model performance is evaluated through multi-nation data simulation experiments. The prediction accuracy of ensemble technique is

Get Price

Machine learning in concrete strength simulations: Multi ...

Machine learning (ML) techniques are increasingly used to simulate the behavior of concrete materials and have become an important research area. The compressive strength of high performance concrete (HPC) is a major civil engineering problem. However, the validity of reported relationships between concrete ingredients and mechanical strength is questionable. This paper provides a ...

Get Price

Machine learning in concrete strength simulations: Multi ...

Machine learning in concrete strength simulations: Multi-nation data analytics Jui-Sheng Choua,⇑, Chih-Fong Tsaib, Anh-Duc Phama,c, Yu-Hsin Lud a Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taiwan bDepartment of Information Management, National Central University, Taiwan cFaculty of Project Management, The University of

Get Price

Machine learning in concrete strength simulations: Multi ...

Request PDF On Dec 30, 2014, Jui-Sheng Chou and others published Machine learning in concrete strength simulations: Multi-nation data analytics Find, read and cite all the research you need on ...

Get Price

Machine learning in concrete strength simulations: Multi ...

Abstract Machine learning (ML) techniques are increasingly used to simulate the behavior of concrete materials and have become an important research area. The compressive strength of high performance concrete (HPC) is a major civil engineering problem. However, the validity of reported relationships between concrete ingredients and mechanical strength is questionable.

Get Price

Machine learning in concrete strength simulations: Multi ...

Abstract Machine learning (ML) techniques are increasingly used to simulate the behavior of concrete materials and have become an important research area. The compressive strength of high performance concrete (HPC) is a major civil engineering problem. However, the validity of reported relationships between concrete ingredients and mechanical strength is questionable.

Get Price

Machine learning in concrete strength simulations: Multi ...

Machine learning in concrete strength simulations: Multi-nation data analytics Author: Chou, Jui-Sheng Tsai, Chih-Fong Pham, Anh-Duc Lu, Yu-Hsin Journal: Construction and Building Materials Issue Date: 2014 Abstract(summary): \0 Page: 771-780

Get Price

Machine learning in concrete strength simulations: Multi ...

Article “Machine learning in concrete strength simulations: Multi-nation data analytics” Detailed information of the J-GLOBAL is a service based on the concept of Linking, Expanding, and Sparking, linking science and technology information which hitherto stood alone to support the generation of ideas. By linking the information entered, we provide opportunities to make unexpected ...

Get Price

Machine learning in concrete strength simulations: Multi ...

Citations from other publications for 'Machine learning in concrete strength simulations: Multi-nation data analytics'.

Get Price

Machine learning in concrete strength simulations: Multi ...

Machine learning in concrete strength simulations: Multi-nation data analytics . Gespeichert in: PPN (Katalog-ID): OLC1953471900 . In Zeitschrift/Reihe: ...

Get Price

Concrete Compressive Strength Prediction using Machine ...

05/03/2020  The Compressive Strength of Concrete determines the quality of Concrete. This is generally determined by a standard crushing test on a concrete cylinder.

Get Price

Machine learning-based compressive strength prediction for ...

Abstract In this paper, an intelligent approach based on the machine learning technique is proposed for predicting the compressive strength of concrete. This approach employs the adaptive boosting algorithm to construct a strong learner by integrating several weak learners, which can find the mapping between the input data and output data. The ...

Get Price

Frontiers Prediction of Rubber Fiber Concrete Strength ...

28/01/2021  The 28d compressive, splitting tensile and flexural strength, three types of concrete strength, were used as output variables to establish a strength prediction model of the rubber fiber concrete based on the extreme learning machine (ELM). For verifying the ELM prediction model's performance, this paper has conducted a comparison experiment between this model and other

Get Price

Concrete corrosion in wastewater systems: Prediction and ...

29/04/2021  Chou J S, Tsai C F, Pham A D, Lu Y H. Machine learning in concrete strength simulations: Multi-nation data analytics. Construction Building Materials, 2014, 73(1): 771–780. Google Scholar 54. Haykin S. Neural Networks—A Comprehensive Foundation. 2nd ed. London: Prentice-Hall, Inc., 1999, 26–32

Get Price

Estimating Compressive Strength of High Performance ...

This research carries out a comparative study to investigate a machine learning solution that employs the Gaussian Process Regression (GPR) for modeling compressive strength of high-performance concrete (HPC). This machine learning approach is utilized to establish the nonlinear functional mapping between the compressive strength and HPC ingredients. To train and verify the

Get Price

Machine learning in concrete strength simulations: Multi ...

Article “Machine learning in concrete strength simulations: Multi-nation data analytics” Detailed information of the J-GLOBAL is a service based on the concept of Linking, Expanding, and Sparking, linking science and technology information which hitherto stood alone to support the generation of ideas. By linking the information entered, we provide opportunities to make unexpected ...

Get Price

Machine learning in concrete strength simulations: Multi ...

Citations from other publications for 'Machine learning in concrete strength simulations: Multi-nation data analytics'.

Get Price

Concrete Compressive Strength Prediction using Machine ...

05/03/2020  The Compressive Strength of Concrete determines the quality of Concrete. This is generally determined by a standard crushing test on a concrete cylinder.

Get Price

A comprehensive Machine Learning workflow with multiple ...

27/09/2018  Estimating the strength of concrete is a challenge of particular interest. Although it is used in nearly every construction project, concrete performance varies greatly due to a wide variety of ingredients that interact in complex ways. As a result, it is difficult to accurately predict the strength of the final product. A model that could ...

Get Price

Science curiculum vitae personally - University of Da Nang

Machine learning in concrete strength simulations: Multi-nation data analytics : Tác giả hoặc Nhóm tác giả: Jui-Sheng Chou, Chih-Fong Tsai, Anh-Duc Pham, Yu-Hsin Lu Nơi đăng: Construction and Building Materials (SCIE); Số: 73;Từ->đến trang: 771–780;Năm: 2014 Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế

Get Price

‪Jui-Sheng Chou‬ - ‪Google Scholar‬

Machine learning in concrete strength simulations: Multi-nation data analytics. JS Chou, CF Tsai, AD Pham, YH Lu . Construction and Building Materials 73, 771-780, 2014. 151: 2014: Cost simulation in an item-based project involving construction engineering and management. JS Chou. International Journal of Project Management 29 (6), 706-717, 2011. 145: 2011: Project management knowledge and ...

Get Price

Concrete corrosion in wastewater systems: Prediction and ...

29/04/2021  Chou J S, Tsai C F, Pham A D, Lu Y H. Machine learning in concrete strength simulations: Multi-nation data analytics. Construction Building Materials, 2014, 73(1): 771–780. Google Scholar 54. Haykin S. Neural Networks—A Comprehensive Foundation. 2nd ed. London: Prentice-Hall, Inc., 1999, 26–32

Get Price

compressive strength machine concrete

Machine learning in concrete strength simulations: Multi . This comprehensive study used advanced machine learning techniques to predict concrete compressive strength. • Model performance is evaluated through multination data simulation experiments. • The prediction accuracy of ensemble technique is superior to . Get price; Toni Technik: Compressive Strength Testing Machines. Load

Get Price

The Concrete Industry in the Era of Artificial Intelligence

15/02/2021  The Use of Machine Learning Algorithms and IoT Sensor Data for Concrete Performance Testing and Analysis Speaker(s): Andrew Fahim, Pouria Ghods, Aali Alizadeh, and Tahmid Medhi With IoT sensors gaining widespread adoption in recent years for monitoring in-situ concrete properties, the volume of data generated using these sensors is growing at a significant rate. These sensors are

Get Price

Simulation-assisted machine learning Bioinformatics ...

23/03/2019  We introduce simulation as a pre-processing step in a machine learning pipeline, in particular, as a way to include expert prior knowledge. One can consider simulation as a technique which regularizes data or as a specialized feature extraction method. In either view, the SimKern methodology offers a decomposition of an overall ML task into two steps: similarity computation

Get Price