[PDF] Top 20 Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
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Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... by using an activation ...inter-connections. Neural networks might be single-or multi layered. The single-layer neural networks present processing units of the neural networks, which take ... 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 ... See full document
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Prediction of Compressive Strength of Concrete using Artificial Neural Network
... predict compressive strength and assess the prediction reliability for high performance ...concrete. Artificial Neural Network was ...for performance ... See full document
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Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks
... an ANN can pro- vide meaningful answers even when the data to be pro- cessed include errors or are incomplete and can process information extremely rapidly when applied to solve ... See full document
10
Modeling of Concrete Slump and Compressive Strength using ANN
... Artificial neural systems are a group of massively similar architecture that may solve difficult problems through cooperating with highly interconnected but basic computing ...forward neural networks with ... See full document
7
Artificial Neural Network and Hybrid ANN Models for the Prediction of Particulate Matter (PM10) Concentration, Trivandrum (India)”,
... of ANN model was done in three stages, namely, training, testing and ...the network, transfer function was assigned to each ...The performance function was chosen as mean square error ... See full document
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... Powder Concrete (RPC) mixtures by Artificial Neural Networks (ANN) ...of compressive strength (Fc), Splitting Tensile Strength (Fsp) and Flexural strength (Fr) were ... 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 ...effective models to predict, in a reliable manner, the Residual Compressive Strength ... 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, ... See full document
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Concrete Mix Design Using Artificial Neural Network
... of Artificial Neural Networks (ANN) Model for approximate proportioning of concrete ...For ANN a trained back propagation neural network is integrated in the model to ... See full document
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Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano silica
... of ANN has been done. From a desired output, the network learns from many ...the ANN arrives at the minimum ...A high momentum parameter can also help to increase the speed of convergence of ... See full document
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Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm
... different concrete thicknesses, insulation thicknesses, absorbance of solar radiation for each exterior wall/roof and different window-to-wall ratios for each façade, are considered for ...Two prediction ... See full document
15
Research Review and Modeling Of Concrete Compressive Strength Using Artificial Neural Networks
... of compressive strength using artificial neural network, 2003) used various NDT methods such as rebound hammer method, Windsor’s probe method and ultrasonic pulse velocity method ... See full document
6
Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns
... the strength enhancement of such strengthens concrete ...based artificial neural networks (ANNs), to present the strength ...The ANN-based method was simulated based on the ... See full document
20
Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)
... highway network s to optimize pavement performance over predicted service life of the ...in prediction modeling. An artificial neural network (ANN) model was used to ... See full document
5
Combining DFT and QSAR result for predicting the biological activity of the phenylsuccinimide derivatives
... The multiple linear regression statistic technique is used to study the relation between one dependent variable and several independent variables. It is a mathematic technique that minimizes differences between actual ... See full document
12
Modelling of Multi Layer Feed forward Neural Networks to Determine the Compressive Strength of Marmara Region Aggregate's Concrete
... forward network [14]. The compressive strength value was calculated by the model by using the entry parameter values and the available network parameters of the artificial ... See full document
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The Influence of Composite Laminate Stacking Sequence on Failure Load of Bonding Joints Using Experimental and Artificial Neural Networks Methods
... Failure load prediction of single lap adhesive joints using artificial neural networks. Aydın, An artificial neural network model for predicting compression strength of heat [r] ... See full document
10
Analysis of transportation mode choice using a comparison of Artificial neural network and multinomial logit models
... between ANN models with standard statistical models such as Multinomial logistic regression is considered to be a key element in the development ...that using a non-linear model, such as the ... See full document
11
Development of accident prediction model by using artificial neural network (ANN)
... For rural road (type expressway as toll, federal, state, or other as District Council or Private), kilometer posts should be used the network coding system. The police report officer should estimate the position ... See full document
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