METHOD FOR MACHINE RECOGNITION OF CHEMICAL STRUCTURES

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$43,102.00
Award Year:
1990
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
13894
Agency Tracking Number:
13894
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5080 Shoreham Pl #201, San Diego, CA, 92122
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
James R Johnson
(619) 587-0970
Business Contact:
() -
Research Institution:
n/a
Abstract
THE LONG-TERM OBJECTIVE IS TO ENABLE CHEMISTS TO SCAN CHEMICAL STRUCTURES AND HAVE A COMPUTER PROVIDE ACCURATE AND TIMELY IDENTIFICATION OF THE STRUCTURE. THIS IS PROPOSED TO BE DONE BY SCANNING IN A CHEMICAL SYMBOL USING ANORMAL SCANNING PROCESS AND SHIPPING THE RESULTANT DIGITIZEDIMAGE TO A COMPUTER PACKAGE, THE NEOCOGNITRON. THE NEOCOGNITRON IS BASED ON A NEURAL NETWORK TECHNOLOGY THAT IS EXCELLENT AT PATTERN RECOGNITION. THE NEOCOGNITRON HAS DEMONSTRATED THE ABILITY TO RECOGNIZE HANDWRITTEN LETTERS AND NUMBERS. IT WILL BE TRAINED TO RECOGNIZE COMPLEX CHEMICAL SYMBOLS AND TO PROVIDE THE CORRECT CHEMICALREFERENCE NUMBER. THIS WILL PROVIDE ACCESS TO A CHEMICAL CATALOG THAT CONTAINS THE CHEMICAL STRUCTURE, THE NAME, AND PERTINENT INFORMATION. SCALING AND TRAINING ISSUES WILLBE ADDRESSED IN FITTING THE NEOCOGNITRON TO IDENTIFY CHEMICAL SYMBOLS.

* information listed above is at the time of submission.

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