× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site. Concrete Compressive Strength Data Set Download: Data Folder, Data Set Description. Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly ...

Get PriceWelcome to the UC Irvine Machine Learning Repository! We currently maintain 588 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page.For information about citing data sets in publications, please read our citation policy.

Get Price07/04/2020 The Compressive Strength of Concrete is a highly nonlinear function of ingredients used in making it and their characteristics. Thus, using Machine Learning to predict the Strength could be useful in generating a combination of ingredients which result in

Get Price28/07/2020 Concrete-Compressive-Strength-Prediction. Description and Project Overview This project will be based on a dataset obtained from the UCI Repository. The dataset consists of 1030 observations under 9 attributes. The attributes consist of 8 quantitative inputs and 1 quantitative output. The dataset does not contain any missing values. The dataset ...

Get PriceData is obtained from UCI Machine Learning Repository and this dataset is used for all ML Algorithms. https://archive.ics.uci/ml/datasets/Concrete+Compressive+Strength Number of instances - 1030 Number of Attributes - 9 Attribute breakdown - 8 quantitative inputs, 1 quantitative output

Get PriceConcrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength of Concrete is a highly nonlinear function of ...

Get Price27/11/2020 Predicting Concrete Compressive Strength with Deep Neural Networks in TensorFlow 2.0 Overview. The purpose of this project is to predict the compressive strength of concrete given initial quantities of its components and the age after mixing and installation ("cure time").

Get PriceWelcome to the UC Irvine Machine Learning Repository! We currently maintain 588 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page.For information about citing data sets in publications, please read our citation policy.

Get Price07/04/2020 Concrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength of Concrete is a highly nonlinear function of ...

Get Price28/07/2020 Concrete-Compressive-Strength-Prediction. Description and Project Overview This project will be based on a dataset obtained from the UCI Repository. The dataset consists of 1030 observations under 9 attributes. The attributes consist of 8 quantitative inputs and 1 quantitative output. The dataset does not contain any missing values. The dataset ...

Get PriceAnalysed the Compressive Strength and used Machine Learning to Predict the Compressive Strength of Concrete. We have used Linear Regression and its variations, Decision Trees and Random Forests to make predictions and compared their performance. Random Forest Regressor has the lowest RMSE and is a good choice for this problem. Also, we can further improve the performance of the algorithm by ...

Get Price01/07/2021 This study aims to implement a hybrid ensemble surrogate machine learning technique in predicting the compressive strength (CS) of concrete, an important parameter used for durability design and service life prediction of concrete structures in civil engineering projects. For this purpose, an experimental database consisting of 1030 records has been compiled from the machine learning ...

Get PriceConcrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength of Concrete is a highly nonlinear function of ...

Get Price27/11/2020 Predicting Concrete Compressive Strength with Deep Neural Networks in TensorFlow 2.0 Overview. The purpose of this project is to predict the compressive strength of concrete given initial quantities of its components and the age after mixing and installation ("cure time").

Get Price01/01/2017 Civil engineering standards propose the determination of concreteâ€™s compressive strength using destructive procedures, in which concrete samples are subjected to gradually increasing compressive stress in a laboratory environment until the sample is fractured. Therefore, finding a fast and efficient non-destructive method to predict the ultimate strength of concrete as an alternative to ...

Get Price01/11/2015 数据准备 1.收集数据. UC Irvine Machine Learning Repository-Concrete Compressive Strength Data Set 把下载到的Concrete_Data.xls拷贝到R的工作目录,然后用Excel打开另存为concrete

Get Price16/01/2020 Goal Using the data available in file concrete_data.xls. Apply feature engineering methods to obtain 85% to 95% accuracy (tolerance limit 95% of the time (confidence level).

Get Price08/08/2018 I-Cheng Yeh ; published in UCI Machine Learning Repository . The aim of the dataset is to predict concrete compressive strength of high performance concrete (HPC). HPC does not always means high strength but covers all kinds of concrete for special applications that are not possible with standard concretes. Therefore, our target value is: target y. Concrete compressive strength [MPa] In

Get Price07/04/2020 Concrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength of Concrete is a highly nonlinear function of ...

Get Price28/07/2020 Concrete-Compressive-Strength-Prediction. Description and Project Overview This project will be based on a dataset obtained from the UCI Repository. The dataset consists of 1030 observations under 9 attributes. The attributes consist of 8 quantitative inputs and 1 quantitative output. The dataset does not contain any missing values. The dataset ...

Get Price01/07/2021 This study aims to implement a hybrid ensemble surrogate machine learning technique in predicting the compressive strength (CS) of concrete, an important parameter used for durability design and service life prediction of concrete structures in civil engineering projects. For this purpose, an experimental database consisting of 1030 records has been compiled from the machine learning ...

Get Price30/09/2018 Ready-mixed concrete is a product whose quality can only be understood at the end of the 28 th day if it is only controlled by taking the sample by the user. In this study, a data mining study was conducted on the factors affecting the 28-day compressive strength of concrete using the Concrete Slump Test Data Set from UCI Machine Learning Repository. The Artificial Bee Colony Algorithm is

Get PricePredicting the Compressive Strength of Concrete; cGAN based Real-Time Simulation Tool; Bubble Diagram to Floor Plan ; cVAE Typed-Text to Hand-Written-Text; NLP : Word2Vec (Embeddings in AEC) RL - MsPacman; RL - Agent based Adaptive Pavilion Generation; Bubble2Floor2Mass2Sim using cGANs; Generative Design. Alphabet City - Rule based Modeling; Responsive Facade for Hunt

Get PriceThis repository contains the code for the paper 'Accelerated Discovery Sustainable Building Materials' submitted to the AAAI 2019 Spring Symposium. The code builds a Conditional Variational Autoencoder (CVAE) using the Concrete Compressive Strength Data Set from the UC Irvine Machine Learning Repository together with environmental impact data collected from a web-based tool (https://concrete ...

Get PriceConcrete mixture data: Yeh (1998) used designed experiments to find concrete formulations that maximize compressive strength. The data used here consists of separate experiments from 17 sources with common experimental factors were combined into one "meta–experiment". The data can be found in the UC Irvine Machine Learning Repository and in the AppliedPredictiveModeling R package.

Get Price01/01/2017 Civil engineering standards propose the determination of concreteâ€™s compressive strength using destructive procedures, in which concrete samples are subjected to gradually increasing compressive stress in a laboratory environment until the sample is fractured. Therefore, finding a fast and efficient non-destructive method to predict the ultimate strength of concrete as an alternative to ...

Get Price16/01/2020 Goal Using the data available in file concrete_data.xls. Apply feature engineering methods to obtain 85% to 95% accuracy (tolerance limit 95% of the time (confidence level).

Get Price