[PDF] Top 20 USE OF ARTIFICIAL NEURAL NETWORK TO IDENTIFYCOMPRESSIVE STRENGTH OF CONCRETE
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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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Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... most concrete mixture contains supplementary cementitious materials (SCM) which form a part of the cementitious ...using Artificial Neural Network (ANN) and Multiple Regression Analysis (MRA ... 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 ...compressive ... See full document
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Assessment of strength of reinforced concrete beams subject to corrosion using artificial neural network
... assess strength of corroded reinforce Destructive Test (NDT) methods such as half shell potential test, ound hammer test, and ultrasonic pulse velocity test ...with Artificial Neural Network. ... See full document
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Predicting Fire Effects on Compressive Strength of Normal Strength Concrete with Nanoparticles Additives using Artificial Neural Network
... mentioned, neural network input vectors are composed of the following parameters:1) Temperature degree, 2) fire exposure time, 3) Nanoclay %, and 4) Nanosilica ...compressive strength are the outputs ... See full document
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Artificial Neural Network Model for Compressive Strength of Lateritic Blocks
... compressive strength of block is one of the most important and useful property of ...Compressive strength of block must be known in other to model the behavior of laterite block ...compressive ... 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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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
... on artificial neural networks (ANN) and Adaptive neuro-fuzzy inference systems (ANFIS) have become popular and have been widely used to solve a variety of problems in many areas of science and engineering ... 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
Research Review and Modeling Of Concrete Compressive Strength Using Artificial Neural Networks
... predictions. Artificial neural network is one of the techniques through which these predictions can be made with limited ...compressive strength of concrete using artificial ... See full document
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Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks
... As PC contains much higher hydraulic permeability than ordinary concrete, conventional methods which are used to evaluate the permeability of normal con- crete cannot be directly applied. Therefore, based on ... See full document
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Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano silica
... Back propagation method of training of ANN has been done. From a desired output, the network learns from many inputs. It is a supervised learning method, and is a generalization of the delta rule. The learning ... See full document
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Evaluation of Ultimate Torsional Strength of Reinforcement Concrete Beams Using Finite Element Analysis and Artificial Neural Network
... Heretofore, in the literature, no comprehensive studies have been reported for studying all the significant parameters in the ultimate tosional strength. Accordingly, here the exhaustive study has been carried out ... See full document
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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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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 ...compressive strength and slump, ... See full document
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Concrete Mix Design Using Artificial Neural Network
... layer neural networks present processing units of the neural networks, which take input from the outside of the networks and transmit their output to the outside of the networks; otherwise, the ... See full document
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Modeling of Compressive Strength of Metakaolin Based Geopolymers by The Use of Artificial Neural Network RESEARCH NOTE)
... the network the error is large. The network has memorized the training examples, but it has not learned to generalize to new ...to use lots of training data [11, 15, ...improving network ... See full document
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Modelling of Utltimate Tensile Strength of Ferritic Steel Welds
... the use of an artificial neural network to model the ultimate tensile strength of ferritic steel weld deposits from their chemical compositions, welding conditions and heat ... See full document
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Text Recognition using Convolutional Neural Network: A Review
... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document
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SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... This paper used an efficient hybrid forecasting model for the currency exchange time series data. Results of the experiments show that PSO based Local Linear Wavelet Neural Network model can forecast ... See full document
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