Developing a Neural Network to Act as a Noise Filter

Abstract

This study uses the neural network simulator called NETS to determine if neural networks could perform a non-linear filtering operation to remove noise from two-dimensional (2-D) data and produce a noise-free image. Application is geared toward the development and performance of neural network filters, including the development of an optional neural network architecture and the use of-criteria in determining how accurate the net filtered noise-to produce a noise-free image.

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Document Details

Document Type
Technical Report
Publication Date
Oct 02, 1992
Accession Number
ADA259515

Entities

People

  • Ramon Rivero

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Data Sets
  • Gray Scale
  • Network Architecture
  • Neural Networks
  • Plastic Explosives
  • Security
  • Simulators
  • Training
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks