Geographical classification of Spanish bottled mineral waters by means of iterative models based on linear discriminant analysis and artificial neural networks

2016 ◽  
Vol 29 (2) ◽  
pp. 459-468 ◽  
Author(s):  
Francisco Gutiérrez-Reguera ◽  
J. Marcos Jurado ◽  
Rocío Montoya-Mayor ◽  
Miguel Ternero-Rodríguez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Mineral Waters ◽  
Linear Discriminant ◽  
Artificial Neural

Methods of Evaluation for Region’s Landslide Susceptibility. Short Overview

2017 ◽  
Vol 6 (3) ◽  
pp. 57-60
Author(s):  
Денис Кривогуз ◽  
Denis Krivoguz
Keyword(s):  
Neural Networks ◽  
Logistic Regression ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Landslide Susceptibility ◽  
Susceptibility Assessment ◽  
Linear Discriminant ◽  
Landslide Susceptibility Assessment ◽  
Artificial Neural

Modern approaches to the region’s landslide susceptibility assessment are considered in this paper. Have been presented descriptions of the most used techniques for landslide susceptibility assessment: logistic regression, indicator validity, linear discriminant analysis and application of artificial neural networks. These techniques’ advantages and disadvantages are discussed in the paper. The most suitable techniques for various conditions of analysis have been marked. It has been concluded that the most acceptable techniques of analysis for a large number of input data related to the studied region are the method of logistic regression and indicator validity method. With these methods the most accurate results are achieved. When there is a lack of information, it is more expedient to use linear discriminant analysis and artificial neural networks that will minimize potential analysis inaccuracies.

Artificial Neural Networks and Linear Discriminant Analysis:  A Valuable Combination in the Selection of New Antibacterial Compounds

2004 ◽  
Vol 44 (3) ◽  
pp. 1031-1041 ◽  
Author(s):  
Miguel Murcia-Soler ◽  
Facundo Pérez-Giménez ◽  
Francisco J. García-March ◽  
Ma Teresa Salabert-Salvador ◽  
Wladimiro Díaz-Villanueva ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Antibacterial Compounds ◽  
Linear Discriminant ◽  
Artificial Neural ◽  
Selection Of

Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds.

ChemInform ◽  
2004 ◽  
Vol 35 (30) ◽  
Author(s):  
Miguel Murcia-Soler ◽  
Facundo Perez-Gimenez ◽  
Francisco J. Garcia-March ◽  
Ma. Teresa Salabert-Salvador ◽  
Wladimiro Diaz-Villanueva ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Antibacterial Compounds ◽  
Linear Discriminant ◽  
Artificial Neural ◽  
Selection Of

scholarly journals Artificial neural networks and linear discriminant analysis in early selection among sugarcane families

2017 ◽  
Vol 17 (4) ◽  
pp. 299-305 ◽  
Author(s):  
Luiz Alexandre Peternelli ◽  
Édimo Fernando Alves Moreira ◽  
Moysés Nascimento ◽  
Cosme Damião Cruz
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Early Selection ◽  
Linear Discriminant ◽  
Artificial Neural
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