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.

Document Type

Patent

Patent Number

US 7,016,885 B1

Application Serial Number

10/230,425

Issue Date

3-21-2006

Current Assignee

UCFRF

Assignee at Issuance

UCFRF

College

College of Engineering and Computer Science (CECS)

Department

Electrical Engineering & Computer Science - CS Division

Allowance Date

11-30-2005

Filing Date

8-28-2002

Assignee at Filing

UCFRF

Filing Type

Nonprovisional Application Record

Donated

no

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