Predicting Car Production using a Neural Network

Abstract

Neural networks are used for many reasons, like predicting stocks in the stock markets [1], recognizing objects [2, 3], brain theory [4], and countless other areas. In this project, a simple neural network is used to predict the yearly production of a car company based on past productions, market conditions, and other indicators. The data was retrieved from [5, 6, 7]. In this paper, the methodology is discussed in section 2. Section 3 describes the files and how to run the program. Section 4 presents the results, and section 5 concludes the paper. Section 6 lists the references.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 2003
Accession Number
ADA578462

Entities

People

  • Michael Del Rose

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Basic Programming Language
  • Climate Change
  • Computer Languages
  • Computer Programming
  • Convergence
  • Debugging
  • Errors
  • Indicators
  • Language
  • Learning
  • Neural Networks
  • Production
  • Programming Languages
  • Training

Readers

  • Computer Science.
  • Economics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks