Smoothing of Convolutional Neural Network Classifications

Abstract

Smoothing convolutional neural networks is investigated. When intermittent and random false predictions happen, a technique of average smoothing is applied to smooth out the incorrect predictions. While a simple problem environment shows proof of concept, obstacles remain for applying such a technique to a more operationally complex problem.

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Document Details

Document Type
Technical Report
Publication Date
Mar 25, 2022
Accession Number
AD1170692

Entities

People

  • Glen R. Drumm

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Computer Languages
  • Computer Vision
  • Computers
  • Convolutional Neural Networks
  • Deep Learning
  • Information Science
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Ontologies
  • Recurrent Neural Networks
  • United States

Fields of Study

  • Mathematics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks