GeoComputation

The course is focused on development knowledge in the field of application of artificial intelligence methods and especially machine learning in geoinformatics, utilization of spatial properties, explanation of classification methods based on machine learning, regression methods based on machine learning, advanced methods for neural networks such as deep learning and convolution neural networks, discrimination analysis, SOM, Bayes networks, logistic regression, symbolic regression, robust regression, data mining methods, including text mining and stream data processing, dynamics of models and basics of dynamics, chaos (transitivity), detection of chaos in geography, fractals, fractal dimension and its application usinf selected algorithms, fractal clustering, self affine fractals and multifractals.