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APPROACH OF THE HUNGARIAN GEOID SURFACE WITH SEQUENCE OF NEURAL NETWORKS
Neural Artificial Intelligence Surface Data Mining Geodesy
2015/5/27
For global data representation, like the approximation of a surface, algebraic or trigonometric polynomials may be used. However, polynomial approaches are limited concerning their accuracy. In the la...
Comparison of a back propagation and a self organizing map neural networks in classification of TM images
Thematic Classification Neural Network Back Propagation Self Organizing Maps Landsat TM
2015/2/5
In this paper we report the results of an experimental analysis on the use of two neural models for the thematic
classification of multispectral remotely sensed data. A Back Propagation network with ...
THE IMPACT OF DATA COMPRESSION AND NEIGHBORHOOD INFORMATION ON THE CLASSIFICATION ACCURACY OF ARTIFICIAL NEURAL NETWORKS
Neural Networks Thematic Classification Principal Component Analysis
2015/2/3
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
