Image processing using self-learning fuzzy spiking neural network in the presence of overlapping classes

摘要

Architecture of self-learning fuzzy spiking neural network that belongs to a new type of hybrid intelligence systems is proposed. Both crisp and fuzzy clustering modes are described. Results of image processing in the presence of overlapping classes are presented.