ROBUST MORPHOLOGICALLY BASED SAMPLING FOR ANN

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$49,960.00
Award Year:
1990
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
12282
Agency Tracking Number:
12282
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
111 Villa Ann, San Antonio, TX, 78213
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr Harold Longbotham
(512) 691-5518
Business Contact:
() -
Research Institution:
n/a
Abstract
THE PROBLEM OF INTEREST IS TO IMPROVE PATTERN RECOGNITION TECHNIQUES BY DECREASING THE TRAINING TIME FOR ARTIFICIAL NEURAL NETWORKS (ANN) AND INCREASING THE ROBUTNESS OF THE RECALL OF ANN. WE PROPOSE TO DECREASE TRAINING TIME BY INTRODUCING MORPHOLOGICALLY BASED RECONFIGURABLE SAMPLING ARRAYS. WE WILL INCREASE THE FAULT TOLERANCE OR ROBUSTNESS OF OBJECT DETECTION TASKS BY INTRODUCING A HYBIRD MODEL THAT INCORPORATES ROBUST FILTERING PRIOR TO THE ANN INPUT. THERE ARE TWO PROBLEMS IN THIS AREA WE WOULD LIKE TO INVESTIGATE. AN OBVIOUS STEP IN DECREASING TRAINING TIME IS TO REDUCE THE NUMBER OF INPUTS AND THEREFORE THE NUMBER OF INTERCONNECTS. WE WILL INVESTIGATE THE EFFECTIVENESS OF THE INTERCONNECTION OF SENSORS ON MORPHOLOGICAL "SHAPING" CONSIDERATIONS AND PRIOR KNOWLEDGE OF THE OBJECT OF INTEREST. THE SECOND PROBLEM WE WISH TO INVESTIGATE IS AN INCREASE IN THE ROBUTNESS OF ANNS FOR BOTH IMPULSIVE NOISE AND VARYING SENSOR OUTPUT AMPLITUDES DUE TO VARYING INPUT INTENSITIES. WE WILL EXAMINE IMPULSIVE NOISE VIA THE USE OF ORDER STATISTIC (OS) FILTERS SUCH AS THE MEDIAN AFTER AN MORPHOLOGICALLY BASED INTERCONNTECTION OF THE SENSORS. WE WILL APPROACH THE PROBLEM OF VARYING INTENSITIES BY RENORMALIZATION OF THE INPUTS FROM THE MORPHOLOGICALLY SELECTED SET OF SENSORS TO THE ANN.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government