Ivan Izonin

I am working on the High-speed Computational Intelligence Lab. Our Lab is focusing on the information modeling based on a new ANN design concept - Successive Geometric Transformations Model (SGTM). SGTM ensures the solutions to a lot of tasks (pattern recognition, predicting, classification, optimization, missing-data recovering or their consolidation, information protection and privacy methods...). Neural-like structures based on the SGTM as universal approximator implement the training and self-training principles and base on an algorithmic or hardware performing variants. SGTM uses a single methodological framework for various tasks and fast non-iterative training with the pre-defined number of computation steps, provides repeatability of the training outcomes and the possibility to obtain satisfactory solutions for large and small training samples.


Lviv, Ukraine



Lviv Polytechnic National University