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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 ...
Enhanced Self-Organizing Map Neural Network for DNA Sequence Classification
Bioinformatics Artificial Neural Networks Self-Organizing Map Classification Sequence Alignment
2013/1/28
The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due t...
ERIAL IMAGES AND LIDAR DATA FUSION FOR AUTOMATIC FEATURE EXTRACTION USING THE SELF-ORGANIZING MAP (SOM) CLASSIFIER
Aerial Images Lidar, GLCM Attributes Building Detection
2016/2/29
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based
on test data from two different study areas with different character...