Learning Curves and their Applicability to Unit Training Levels in Operational Testing

Abstract

This research addresses the problem of determining the existence of a representative group/crew learning curve (or set of curves) and the development of a mathematical description of this curve applicable to training levels in operational testing. Emphasis is placed on the analysis of data from actual operational test reports. An iterative procedure is developed to analyze sample data using regression techniques to screen data for suitability and to fit nonlinear learning models. A representative learning curve for the data analyzed is selected by comparing the sum of squares regression and the lack of fit ratio for each model. This comparison shows that several models appeared to provide an adequate fit to the data analyzed. One of these adequately fits the empirical data analyzed and can be used as a representative group/crew learning model for this data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1978
Accession Number
ADA086174

Entities

People

  • Jesse Lee Brokenburr

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Aircrafts
  • Computational Science
  • Computer Programs
  • Crystal Structure
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Databases
  • Information Science
  • Mathematical Models
  • Nonlinear Dynamics
  • Psychology
  • Surveys
  • Test And Evaluation
  • Training

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management
  • Neural Network Machine Learning.