Neural Network Function Classifier

Abstract

A method and a system for determining a best function for representing a data set. The method includes providing a classifier having a plurality of neural network sets. Each of the neural networks in a particular set is trained to recognize a particular data set type. The best function representation of the data set is determined from the neural network output. The system comprises sets of trained neural networks having neural networks trained to identify different types of data. The number of neural networks within each neural network set will depend on the number of function types that are represented. The system further comprises an aide for determining based on the best function representation of the data set.

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Document Details

Document Type
Technical Report
Publication Date
Feb 07, 2003
Accession Number
ADD020083

Entities

People

  • Christopher Deangelis

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Attorneys
  • Computers
  • Data Sets
  • Equations
  • Exponential Functions
  • Governments
  • Inventions
  • Language
  • Machine Learning
  • Measurement
  • Neural Networks
  • Polynomials
  • Rhode Island
  • Undersea Warfare
  • United States
  • United States Government
  • Warfare

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks