Estimating Complexity of Classification Tasks Technology Using Neurocomputers

This paper presents an alternative approach for estimating task complexity. Construction of a self-organizing neural tree structure, following the paradigm "divide and rule", requires knowledge about task complexity. Our aim is to determine complexity indicator function and to hallmark its' main properties. Described approach uses IBMcopy zero instruction set computer (ZISC-036reg).