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[PDF] Top 20 Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network

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Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network

Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network

... ECC material, known as a type of HPFRCC invented about 25 years ago, has special properties such as ultra- high ductility and tensile strength ...these properties of ECC and strain- hardening should ... See full document

9

PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK

PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK

... apply artificial neural network (ANN) for development of bus travel time prediction ...time prediction model was developed to give real time bus arrival information to the passenger and ... See full document

15

PREDICTION OF RAINFALL MAGNITUDE IN ENUGU USING THE ARTIFICIAL NEURAL NETWORK

PREDICTION OF RAINFALL MAGNITUDE IN ENUGU USING THE ARTIFICIAL NEURAL NETWORK

... the Artificial Neural network in the prediction of the re-occurring events with regular data ...of artificial neurons was first introduced in 1943 ...of artificial neurons, ... See full document

8

National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network

National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network

... trained Neural Network can effectively predict stock security price ...various Artificial Neural Network (ANN) architecture, input parameters, model performance measured parameter to ... See full document

6

Air quality prediction using artificial neural network

Air quality prediction using artificial neural network

... of artificial neural networks (ANNs) has increased in many areas of ...engineering. Artificial neural network have been applied to many environmental engineering problems and have ... See full document

5

Stock Price Prediction Using Artificial Neural Network

Stock Price Prediction Using Artificial Neural Network

... challenging. Prediction provides knowledgeable information regarding the current status of the stock price ...market prediction are reviewed. It is noticed that Artificial Neural ... See full document

8

A Survey on Rainfall Prediction using Artificial Neural Network

A Survey on Rainfall Prediction using Artificial Neural Network

... propagation neural network model for rainfall prediction in Chennai, ...them using that ...use neural network and regression technique for rainfall-runoff prediction and ... See full document

9

PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK

PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK

... property. Prediction of such calamities well in advance is inevitable. Prediction and classification of thunderstorms using Artificial Neural Network (ANN) is presented in this ... See full document

5

Prediction of Skin Penetration using Artificial Neural Network

Prediction of Skin Penetration using Artificial Neural Network

... the neural network model was compared to the experimental ...uses artificial neural network for prediction of Skin permeability ... See full document

6

Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling

Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling

... by artificial neural network (ANN). The neural network employed here is a connected back-propagation model with a 4-4-1 ...of properties for use in the correlation and allows for ... See full document

10

Artificial Neural Network Based Prediction Hardness of Al2024-Multiwall Carbon Nanotube Composite Prepared by Mechanical Alloying

Artificial Neural Network Based Prediction Hardness of Al2024-Multiwall Carbon Nanotube Composite Prepared by Mechanical Alloying

... 3. 1. Selection of ANN Architecture Defining the architecture of the network can dramatically influence the performance of network. However, there is no distinct way to determine the hidden layer for a ... See full document

8

Prediction of prostate cancer by deep learning with multilayer artificial neural network

Prediction of prostate cancer by deep learning with multilayer artificial neural network

... layers using variables selected by stepwise regression analysis after 2,000 steps (Stepwise_ANN_5_hidden_layers in Table 4, its ROC curve in Figure 2), was precisely compared with the corresponding LR, as shown in ... See full document

13

Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network

Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network

... Energy plays an essential role in the economic growth of a nation. Fossil fuels are limited and are becoming exhausted day-by-day, so it is necessary to develop alternative sources of energy. Among various types of ... See full document

12

Using GIS and Artificial Neural Network for Deforestation Prediction

Using GIS and Artificial Neural Network for Deforestation Prediction

... for using machine learning algorithm for spatial data such as satellite im- ...with artificial intelligence algorithms for analyzing spatial data enables us to predict challenging disasters such as de- ... See full document

15

Biomedical Prediction of Radial Size of Powdered Element using Artificial Neural Network

Biomedical Prediction of Radial Size of Powdered Element using Artificial Neural Network

... way using tuber powder extracts of Curcuma Longa ...an Artificial Neural Network (ANN) using seven existing algorithms in MATLAB for forecasting the size of the silver nanoparticle with ... See full document

10

Shape Optimization of Pedestals Using Artificial Neural Network

Shape Optimization of Pedestals Using Artificial Neural Network

... From the literature survey it is observed that shape optimization is one of the most complex problem which requires multidisciplinary knowledge like Numerical Mathematics; Finite Element Method (FEM); Computer Aided ... See full document

7

Prediction of Stock Prices Using Artificial N...

Prediction of Stock Prices Using Artificial N...

... An artificial neural network is a “computing architecture comprising of simple processing elements, neurons, that work in parallel and connect with each other by sending signals (Krawiec and Stefano ... See full document

6

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... AND PREDICTION USING ANN To predict the response variables beyond the scope of experimentation, predictive model such as artificial neural network (ANN) was ...the neural ... See full document

10

The Influence of Composite Laminate Stacking Sequence on Failure Load of Bonding Joints Using Experimental and Artificial Neural Networks Methods

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

Machining Characteristics of Natural Fiber Particle Reinforced Polymer Composite Material using Artificial Neural Network

Machining Characteristics of Natural Fiber Particle Reinforced Polymer Composite Material using Artificial Neural Network

... polymer network composite (epoxy tar) utilizing regular strands as fortification and to ponder its mechanical properties and execution ...mechanical properties like high quality than weight ... See full document

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