Application of Neural Networks Coupled with Genetic Algorithms to Optimize Soil Cleanup Operations in Cold Climates

Abstract

This 98 end of year report focuses on integrating the separately developed GPR-related software modules into a larger, common software framework in order to provide a single, easily accessible, and user-friendly GPR data processing and analysis environment. In particular, the Consecutive Layer Identification (CLI) approach as well as the Adaptive Transform (AT) have been re-coded and incorporated under a Windows 95/98-based Graphical User Interface (GUI). This report and the attached program description serve as a comprehensive account of our research towards streamlining all the software development under one common user interface. Besides the CLI and AT modules, the report also discusses on-going efforts of integrating the neural network modules currently under development. Our ultimate goal is the field evaluation of GPR time-amplitude data either via AT/CLI or the neural network module under a single software platform.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1998
Accession Number
ADA637453

Entities

People

  • John M. Sullivan Jr.
  • Q Lai

Organizations

  • Cold Regions Research and Engineering Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Cold Regions
  • Data Processing
  • Dielectric Permittivity
  • Engineering
  • Experimental Data
  • Frequency
  • Genetic Algorithms
  • Graphical User Interface
  • Identification
  • Neural Networks
  • Pattern Recognition
  • Regions
  • Signal Processing
  • Software Development
  • Training
  • User Interface

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Biotechnology