Artificial neural networks model
Improving robustness of artificial neural networks model using genetic algorithm
... In this work, an ANN model is used for inferential estimation of product composition in a distillation column. The ain is to address an issue in process industries, i.e.[r] ...
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Application of Artificial Neural Networks Model as Analytical Tool for Groundwater Salinity
... After the network has been successfully trained well, it is then tested against a set of cases withheld from it dur- ing its training session. The ANN is then ready to be ap- plied to any other values of variables. The ...
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Artificial Neural Network Models Investigation for Euphrates River Forecasting & Back Casting
... forecasting model is one of the most important aspects in water resources planning and management , since it can help in providing early warning of river flooding as well as in short term operation of water supply ...
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Model development of the external friction of granular vegetable materials on the basis of artificial neural networks
... a model of the phenomenon of the external friction of vegetable materials using a feed-forward artificial neural network ...three-layer neural network having 11 neurons in the first hidden ...
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Eigen Artificial Neural Networks
... the model to a series of problems (only one of these tests is reported in this paper) prompted us to formalize the model and give it adequate mathematical ...
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Attempting to Mimic the Brain Synthetically
... behind neural networks. A neural network is composed of “a set of simple computing units which influence each other through modifiable connections, or ...These artificial networks were ...
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Applicability of the Deep Learning Flood Forecast Model Against the Inexperienced Magnitude of Flood
... rainfall-runoff model, ANN models are acknowledged as robust flood-forecasting models that can be applied to a wide range of river systems (ASCE Task Committee on Application of Artificial Neural ...
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INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
... One method to overcome this problem is the use NN to identify the plant, and to calculate its Jacobin. Since the plant emulator learning converges before the neutral controllers learning begins, an effective neutral ...
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Optimal Decision Support System Using Multilayer Neural Networks for Incinerator Control
... An artificial neural network which is made of single layer of neurons is a single layer ...another model known as the multilayer perceptron is used which has an input layers, n number of hidden ...
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Language Modeling Through Neural Networks to Increase Performance of Speech Recognition System
... Speech is the spoken version of natural language. Speech recognition in essence is a language dependent process. Hence linguistic knowledge has to be modeled in a form that can be employed by a general purpose automatic ...
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Mathematical model for the evaluation of risk of emergency situations at a dangerous technical object based on artificial neural networks
... of artificial neural networks in modern security systems potentially dangerous technical objects — high-rise buildings as tools for assessing and forecasting in management ...mathematical ...
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A Comprehensive Review on McCulloch Pitts Neuron Model
... basic model of Artificial Neural Networks ...Neuron model and implementation of logical gates ...the Artificial Neural ...
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Article Description
... the neural network and a corresponding desired or target response set at the output (when this is the case the training is called ...then neural network technology is probably not the right ...approximate ...
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Building lighting energy consumption modelling with hybrid neural-statistic approaches
... latest Artificial Intelligence modelling technique : Artificial Neural Networks Ensembling ...hybrid model based on the statistical-ANNE ...
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Combined Complex-Valued Artificial Neural Network (CCVANN)
... valued artificial neural networks (CVANN) for the complex- valued pattern recognition and ...complex-valued artificial neural network (CCVANN) which is a combination of two complex- ...
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Novel Approaches on Sovereign Credit Ratings
... The model aims to classify the countries as investable or speculative with the Artificial Neural Networks method based on the sovereign credit ratings of the CRAs in terms of short term ...
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... applied artificial neural networks to the prediction of the mechanical behaviour of concrete materials at high ...an artificial neural network (ANN) based model, to predict the ...
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Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... studying artificial neural networks (ANNs) and multiple linear regression (MLR), found that the neural-network method performed better than the linear- regression method, although both showed ...
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Predictive Analytics: A Review of Trends and Techniques
... Similarly, artificial neural networks, decision tree, support vector machines are the tools of machine learning which are widely used in many predictive analytics ...
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Conductivity and Artificial Neural Networks applied to the evaluation of the apparent mass diffusion coefficient in concrete
... That are the comparison between the desired outputs and response network is represented by plots illustrated in Figures 4-7. For all studied test / generalization phases, the correlation coefficient R=1.0000. This result ...
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