APPLICATION OF NEURAL NETWORKS TO ADAPTIVE TRAINING SYSTEMS

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 13046
Amount: $49,904.00
Phase: Phase I
Program: SBIR
Awards Year: 1990
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
485 Alberto Wy, Los Gatos, CA, 95032
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Rothman
 (408) 395-9191
Business Contact
Phone: () -
Research Institution
N/A
Abstract
MUCH RESEARCH AND DEVELOPMENT IS UNDERWAY TO CONSTRUCT INTELLIGENT TRAINING SYSTEMS CAPABLE OF ADAPTING THEMSELVES AUTOMATICALLY TO AN INDIVIDUAL STUDENT'S PERFORMANCE AND LEARNING MODALITIES, AND TO DETERMINE THE FEASIBILITY OF APPLYING OF NEURAL NETWORK TECHNOLOGY TO THE DEVELOPMENT OF THESE SYSTEMS. THIS RESEARCH AND DEVELOPMENT EFFORT WILL SEEK TO APPLY NEURAL NETWORKS TO A DIFFICULT PROBLEM (NAMELY, "MISCUE ANALYSIS") IN THE DEVELOPMENT OF INTELLIGENT TRAINING SYSTEMS, WHICH HAS PROVEN TO BE INTRACTABLE WITH CONVENTIONALKNOWLEDGE ENGINEERING APPROACHES, MISCUE ANALYSIS. AS PART OF THE PROPOSED RESEARCH AND DEVELOPMENT EFFORT A PROTOTYPE NEURAL NETWORK SYSTEM WILL BE DEVELOPED WHICH ENABLES THE AUTOMATIC LEARNING OF CAUAL MODELS OF STUDENT FAILURES AND ERRORS, AND WHICH CAN READILY ADAPT TO INDIVIDUAL LEARNING STYLE DIFFERENCES.

* Information listed above is at the time of submission. *

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