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Year: 2018Subject: artificial neural networkFiles: Metadata onlyclear all
Showing 1-4 of 4 records
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio and Green - Technologies for a Sustainable Future
Publication

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF THE WEAR RESISTANCE OF SINTERED IRON ALLOYS

(STEF92 Technology, 2018-06-20, Marin, F. B., Marin, M., Gurau, G., Gurau, C., Petrica, A.)

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Neural network method is used to solve complex modeling problems such as classification, estimation and pattern recognition. There are two main categories of ANNs which can be applied whether in regression or classification: the supervised and the unsupervised. In supervised model, all the data is labeled and the network is learned to predict the output values from the input data as previous experimental. In unsupervised model, all the data is unlabeled and the network is learned to inherent structure from the inp...

Micro and Nano Technologies2018
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publication

SIMULATION OF ARTIFICIAL NEURAL NETWORKS FOR ASSESSING THE ECOLOGICAL STATE OF SURFACE WATER

(STEF92 Technology, 2018-06-20, Karpinski, Mikolaj)

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An important problem in assessing water quality is that the data on water pollution and their analysis are formed over the previous period, and as a result, it is difficult to assess the current status of water resources, the more likely it is to predict it for the future period, which would allow timely action on improvement of the ecological state of water. The purpose of the work is to evaluate the possibility of using neural networks to simulation of surface water pollution. The data are derived from the resul...

Informatics2018
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publication

ANALYZING OF GROUNDWATER LEVEL FLUCTUATION USING ARTIFICIAL NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHMS

(STEF92 Technology, 2018-06-20, Timofeev, Roman, Alizimir, M., Petkovic, D., Stankovic, B.)

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The estimation of groundwater levels in a basin is a very important factor for planning integrated management of groundwater and surface water resources. In this study, artificial neural network models have been developed for predicting and forecasting of groundwater level. The reliability of the computational models was analyzed based on simulation results and using three statistical tests including Pearson correlation coefficient, coefficient of determination and root-mean-square error. The artificial neural net...

Informatics2018
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio and Green - Technologies for a Sustainable Future
Publication

EXPERIMENTAL AND PREDICTION OF POROSITY IN SOME SINTERED IRON-BASED POWDER METALLURGY MATERIALS BY USING ARTIFICIAL NEURAL NETWORKS

(STEF92 Technology, 2018-06-20, Marin, M., Marin, F. B., Gurau, C., Gurau, G., P.Alexandru)

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The goal of the work reported in this paper is to describe and develop an artificial neural network (ANN) to evaluate the effect of processing parameters such as density, pressing and sintering time on microstructural characteristics including porosity and microstructure of some iron-based powder metallurgy (PM) materials. There are various methods for generating models to predict the the effect of processing parameters. The materials used in this study are prealloyed iron-based powders. The particle size of the p...

Micro and Nano Technologies2018
Showing 1-4 of 4 records
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