Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2006-03-21
2006-03-21
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning task
C706S015000, C382S115000, C382S118000, C382S156000, C382S190000
Reexamination Certificate
active
07016885
ABSTRACT:
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.
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Abdelwahab Manal M.
Krishnan Venkatesh
Mikhael Wasfy B.
Datskovskiy Sergey
Knight Anthony
Law Offices of Brian S. Steinberger , P.A.
Steinberger Brian S.
University of Central Florida Research Foundation Inc.
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