A Self-Designing Intelligent Signal Processing System Capable of Evolutional
Learning
for Classification/Recognition of One and Multidimensional Signals is described
which classifies data by an evolutionary learning environment that develops the
features and algorithms that are best suited for the recognition problem under
consideration. The System adaptively learns what data need to be extracted in order
to recognize the given pattern with the least amount of processing. The System
decides what features need to be selected for classification and/or recognition
to fit a certain structure that leads to the least amount of processing according
to the nature of the given data. The System disclosed herein is capable of recognizing
an enormously large number of patterns with a high accuracy.