Trauma Care Classification

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
1996
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
32941
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
American Gnc Corp
9131 Mason Ave., Chatsworth, CA, 91311
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Ching-fang Lin
(818) 407-0092
Business Contact:
() -
Research Institution:
n/a
Abstract
The objective of this Phase I project is to develop a processing architecture that accepts data from multiple inputs an provide likely trauma survival ratings. The processing architecture is based on a neural network configuration expanded to encode in a direct and unambiguous manner statistical information This creates a hybrid architecture that permits the best attributes of both domains to be utilized for the classification of data corresponding to trauma survival predictive variable. The approach is based on the realization that no single techniques is capable of solving by itself the more difficult aspects of the highly complex trauma survival classification problem. Thus, there exists a strong need to coherently assemble the best elements of different techniques so as to reenforce the positive contributions by each and to neutralize, through complemention , their deficiencies. The architecture chosen is Gaussian Potential Function Network (GPFN) consisting of Gaussian Potential Functions Units (GPFU) with some key parameters determined by the statistical properties of the input feature vectors. Other network structural parameters are determined through a "training" process that aims to yield a network output compatible to the object class the input vector belongs to.

* information listed above is at the time of submission.

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