[PDF] Top 20 Prediction of Compressive Strength of Concrete using Artificial Neural Network
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Prediction of Compressive Strength of Concrete using Artificial Neural Network
... The network parameters tested in the proposed model included the following: training data = 60%, validation data = 20% and testing data = 20%, the number of hidden layers was 1, 2 and 3, the number of hidden ... See full document
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Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... tensile strength of ...mixes, compressive, flexural and split tensile strengths were determined at 28 ...Performance Concrete (W/B = ...the strength development.B. K. Raghu Prasad et al, ... See full document
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Research Review and Modeling Of Concrete Compressive Strength Using Artificial Neural Networks
... paper artificial neural networks (ANN) model has been successfully used for establishing the relationship of compressive strength of concrete with different curing methods, grade of ... See full document
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Prediction on Flexural Strength of Over-Reinforced Concrete Beams Using Artificial Neural Networks
... Artificial neural networks (ANNs) are based on the present understanding of biological nervous system, though much of the biological detail is ...propagation network (MLP) is by far the most popular. ... See full document
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Prediction Of The Compressive Strength Of Palm Kernel Shell Ash Concrete Using Multilayer Feed Forward Neural Network
... Feed-Forward Artificial Neural Network (MLFNN) model for predicting the compressive strength of concrete containing palm kernel shell ash (PKSA) as partial cement ...28-days ... See full document
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PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE USING ACCELERATED CURING
... slag concrete.”Cement and Concrete Research 29 (1999) ...later-age compressive strength of normal concrete based on the accelerated strength of concrete cured with ... See full document
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Predicting Fire Effects on Compressive Strength of Normal Strength Concrete with Nanoparticles Additives using Artificial Neural Network
... enhancing concrete mechanical properties, especially compressive strength, after fire ...Residual Compressive Strength (RCS) after ...adopts Artificial Neural ... See full document
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Artificial Neural Network Model for Predicting Compressive Strength of High Strength Concrete after Burning
... of concrete under high temperature involve complex physicochemical transformations in the ...as concrete mix design, properties of the constituents, heating rate, temperature level etc(Willam et al, 2005 ... See full document
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Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks
... Pervious concrete has been recommended as an alter- native pavement surface to help reduce runoff as com- pared to traditional impervious ...pervious concrete allows for storm wa- ... See full document
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Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano silica
... aggregates. Concrete production is a complex process that involves the effect of several processing parameters on the quality control of concrete pertaining to workability, strength ...single ... See full document
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USE OF ARTIFICIAL NEURAL NETWORK TO IDENTIFYCOMPRESSIVE STRENGTH OF CONCRETE
... architecture for different learning rate The graph of best validation performance is shown in fig 3.5. It is observed that MSE decreases rapidly within 1 st epoch and stabilized at 7.89 E-5 after 3 epochs. This trained ... See full document
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1. Predicting compressive strength of concrete containing ternary combination of industrial by-products as partial replacement of cement and fine aggregates using ann and anfis
... concrete for various curing period. Saridemir [23] developed artificial neural networks and fuzzy logic models for prediction of long-term effects of ground granulated blast furnace slag on ... See full document
15
Artificial Neural Network Model for Compressive Strength of Lateritic Blocks
... The compressive strength of block is one of the most important and useful property of ...blocks. Compressive strength of block must be known in other to model the behavior of laterite block ... See full document
6
Image Processing Based Analysis of the Compressive Strength for the Stones Used In Historical Masonry Structures
... the compressive strength of concrete structures, the prediction of the concrete compressive strength using image processing was also carried ...different ... See full document
7
Concrete Mix Design Using Artificial Neural Network
... The concrete mix design is based on the principles of workability of fresh concrete, desired strength and durability of hardened concrete which in turn is governed by water-cement ratio ...The ... See full document
15
Modeling of Concrete Slump and Compressive Strength using ANN
... Abstract: Artificial Neural Network (ANN) is a subdivision of Artificial Intelligence are extensively used to answer a complex civil engineering ...the compressive strength and ... See full document
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... the strength of the construction materials, mainly ...the strength of concrete materials used in buildings and structures is quite expensive and time ...on artificial neural networks ... See full document
9
Assessment of strength of reinforced concrete beams subject to corrosion using artificial neural network
... the strength of hardened concrete is Ultrasonic Pulse Velocity (UPV)test, this test involves measuring the velocity of sound through hardened concrete ...composition, strength estimation, ... See full document
7
Role of Artificial Neural Network in Welding Technology: A Survey
... “Artificial neural network modelling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals” they monitor in pulsed metal inert gas ... See full document
6
Prediction of prostate cancer by deep learning with multilayer artificial neural network
... in artificial intelligence are now being applied to various fields in society and ...A neural network simulates the pattern recognition capabilities of a biological ...has strength in ... See full document
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