concrete compressive strength data set
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Concrete Compressive Strength Data Set

The concrete compressive strength is the regression problem. The order of this listing corresponds to the order of numerals along the rows of the database. Name -- Data Type -- Measurement -- Description Cement (component 1) -- quantitative -- kg in a m3 mixture -- Input Variable

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Concrete Compressive Strength Data Set Kaggle

2017-9-5  Data Characteristics: The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory. Data is in raw form (not scaled).

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Concrete Compressive Strength - dataset by uci data.world

Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. Source: Original Owner and DonorProf. I-Cheng Ye

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Concrete: Concrete Compressive Strength Data Set in MAVE ...

2021-3-3  Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients. This dataset contains 1030 instances and there are 8 features relevant to concrete strength. The description of the varaibles are given below.

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机器学习_Concrete Compressive Strength Data Set(混凝土 ...

2011-8-30  Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. ConcreteCompressive Strength Data Set(混凝土抗压 强度数据集) 数据摘要: Concrete mostimportant ...

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machine learning/Concrete Compressive Strength Dataset

UCI Machine Learning Repository의 Concrete Compressive Strength Data Set에서 Concrete_Data.xls를 다운로드데이터 적재Cement (component 1) -- quantitative -- kg in a cement slag ash water superplastic coarseagg fineagg age strength count 1030.000000

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On Modeling Concrete Compressive Strength Data Using ...

This data set established from 17 different sources to check the reliability of a suggested strength model. The data gathered concrete comprising cement alongside fly ash, blast furnace slag, and superplasticizer. The data set consisted of a single response variable; namely, the compressive strength of concrete (in MPa), and 8 covariates.

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GitHub - shivsurya/UCI_concretedata: Regression with ...

2015-2-4  Regression with regularization on Concrete Compressive Strength Data Set(UCI-ML repository) - GitHub - shivsurya/UCI_concretedata: Regression with regularization on Concrete Compressive Strength Data Set(UCI-ML repository)

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Optimizing the Prediction Accuracy of Concrete Compressive ...

The compressive strength of HPC is a function of all concrete content, including cement, fly ash, blast-furnace slag, water, superplasticizer, age, and coarse and fine aggregate.

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On Modeling Concrete Compressive Strength Data Using ...

This data set established from 17 different sources to check the reliability of a suggested strength model. The data gathered concrete comprising cement alongside fly ash, blast furnace slag, and superplasticizer. The data set consisted of a single response variable; namely, the compressive strength of concrete (in MPa), and 8 covariates.

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(PDF) On Modeling Concrete Compressive Strength Data

2021-7-17  estimators is illustrated by analyzing a simulated data set and one real data set belongs to compressive strength of concrete. Both data analyses and the Monte Carlo simulation

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Can the compressive strength of concrete be estimated from ...

2019-1-1  To illustrate the variables in the data set, Fig. 2 plots the concrete's compressive strength (f c, MPa) as a function of the eight input variables in the VIP data set.As expected, there is an inverse relationship between w/c and compressive strength, however, the range of measured compressive strengths for a given w/c is still very large.

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Concrete Compressive Strength Regression Model Using Keras

2018-10-23  Introduction¶. In this notebook, we will build a simple three-layer feed-forward neural network model using Keras, running on top of TensorFlow. The sequential model will be trained using the Concrete Compressive Strength Data Set to learn to predict the compressive strength of concrete samples based on the material used to make them.

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GitHub - anubhav582/Concrete-Strength-Analysis: Using ...

2019-7-4  Using Concrete Slump Test data set found on the UCI ML repository build models to predict the compressive strength of concrete - GitHub - anubhav582/Concrete-Strength-Analysis: Using Concrete Slump Test data set found on the UCI ML repository build models to predict the compressive strength of concrete

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EVALUATION OF CONCRETE COMPRESSIVE STRENGTH

compressive strength of concrete. Seven different parameters namely 3/4 mm sand, 3/8 mm sand, cement content, gravel, maximums size of aggregate, fineness modulus, and water-cement ratio were considered as input variables. For each set of these input variables, the 28 days compressive strength of concrete were determined.

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Machine learning-based compressive strength prediction for ...

2020-1-10  A total of 1030 sets of concrete compressive strength tests is collected to train and test the learners, in which the concrete mixture components (e.g., coarse/fine aggregates, cement, water, additive, etc.) and the curing time are set as the input data while the compressive strength value is set as the output data.

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Compressive strength of reinforced concrete column ...

plain concrete columns. 2nd set C001: axial reinforced concrete columns. 3rd set C011: Compressive strength model. Various confinement strength models have been presented to predict the compressive fractured strength of confined concrete columns, including those of Mander et al. [6], Hoshikuma et al. [12], Hoppel et al. [15], Samaan et al. [20 ...

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Prediction of Concrete Compressive Strength and Slump by ...

2019-11-29  NN is more successful than the data mining methods and does not enhance the prediction accuracy of the concrete compressive strength [15, 17, 23–26]. Khademi et al. [ 27 ] compared the multiple linear regression, neural network, and adaptive neuro-fuzzy inference system (ANFIS) methods to estimate the concrete compressive strength for 28 days ...

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多元线性回归实例--预测1立方米混凝土抗压强度_K同学啊 ...

2020-8-5  文章目录一、前言二、前期准备工作1.导入数据2.探究关系三、多元线性回归1.训练模型2.计算得分3.可视化预测结果一、前言今天之所以选择这个主题是因为无意间看到另外一个博主做了这方面的预测,上一篇文章不是刚讲到多元线性回归这个点嘛,然后今天本来打算就这个点进行延伸,写一点相关 ...

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ConcreteCompressiveStrength: Concrete Compressive Strength ...

2019-5-2  ConcreteCompressiveStrength: Concrete Compressive Strength Data Set In randomUniformForest: Random Uniform Forests for Classification, Regression and Unsupervised Learning. Description Usage Format Source References. Description. Concrete is the most important material in civil engineering. The concrete compressive strength is a highly ...

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Concrete Compressive Strength master Data Science Dojo ...

The concrete compressive strength is a highly nonlinear function of age and ingredients The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory. Data is in raw form (not scaled). This data set is recommended for learning and practicing your skills in exploratory data analysis ...

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Compressive strength dataset of foamed/normal concrete

2018-11-19  The information on the concrete dataset is as follows:1. The Dataset 1 contains 177 samples of foamed concrete. References: Given in the excel file.2. The Dataset 1A contains 34 samples of foamed concrete from the laboratory.3. The Dataset 2 contains 1133 samples of high performance concrete.The codes of machine learning models (e.g. HO-DNN, SO-ANN, and so on) are available

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Compressive strength of concrete mixtures — concrete ...

2021-7-14  Yeh (2006) describes an aggregated data set for experimental designs used to test the compressive strength of concrete mixtures. The data are used by Kuhn and Johnson (2013).

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PREDICTION OF CONCRETE COMPRESSIVE STRENGTH

2019-10-22  The actual z-scores show there are only 2 compressive strength results lower than the characteristic strength for this particular data set. 2 Figure 2. Q-Q plot of 20N 28 day strength. Figure 3 shows the typically seen Abrams plot of the concrete 28 day compressive strength vs water/cement ratio and 7/28 day ratio for the data under study.

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PREDICTION OF CONCRETE MIX COMPRESSIVE

2018-7-9  2. Experimental Data The data set contains experimental data about Cement Ratio (CR), Silica Ratio (SR), Milling Time (MT), Sample Age (SA), and Compressive Strength (CS). The dataset has compressive strength measurements after 3 days and 28 days. Three silica percentages are considered with five milling time periods and compressibility

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On Modeling Concrete Compressive Strength Data Using ...

Compressive strength is a well-known measurement to evaluate the endurance of a given concrete mixture to stress factors, such as compressive loads. A suggested approach to assess compressive strength of concrete is to assume that it follows a probability model from which its reliability is calculated. In reliability analysis, a probability distribution’s reliability function is used to ...

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Optimizing the Cement Compressive Strength Prediction

2015-2-11  compressive strength prediction of cement products considering that the typical 28 days strength is a function only of the two earlier ages’ of 2 and 7 days strengths. Tsamatsoulis [16] elaborated a ... A set of data is used to estimate the model parameters; (b) the future strength is computed based on these set of parameters. Relis et

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Estimating Compressive Strength of High Performance ...

In addition, the ratio of water-to-cement of the concrete mixes in the data set ranges from 0.27 to 0.46. Such low water-to-cement ratio necessitates the utilization of superplasticizer to enhance the concrete workability. The minimum and maximum compressive strength of concrete specimens are 23.6 and 85.2 MPa, respectively.

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Solved: The Data Set (Concrete1.xlsx) Contains The Compres ...

The data set (Concrete1.xlsx) contains the compressive strength, in thousands of pounds per square inch (psi), of 30 samples of concrete taken two and seven days after pouring. (a) At the 0.10 level of significance, is there evidence of a difference in the mean strengths at two days and at seven days?

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