Neural network for quality control of submunitions produced by injection loading Metadata

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Title

  • Main Title Neural network for quality control of submunitions produced by injection loading

Creator

  • Author: Smith, R.E.
    Creator Type: Personal
  • Author: Parkinson, W.J.
    Creator Type: Personal
  • Author: Hinde, R.F. Jr.
    Creator Type: Personal
  • Author: Wantuck, P.J.
    Creator Type: Personal
    Creator Info: Los Alamos National Lab., NM (United States). Engineering Sciences and Applications Div.
  • Author: Newman, K.E.
    Creator Type: Personal
    Creator Info: Naval Surface Warfare Center, Yorktown, VA (United States)

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization
    Contributor Info: USDOE, Washington, DC (United States)

Publisher

  • Name: Los Alamos National Laboratory
    Place of Publication: New Mexico
    Additional Info: Los Alamos National Lab., NM (United States)

Date

  • Creation: 1998-12-01

Language

  • English

Description

  • Content Description: Injection loading of submunitions for smart weapons is a novel automated processing technique that can benefit from adaptive process control. This paper describes how the quality of submunitions could be controlled by using a neural network code in real time. Future work is planned to demonstrate fewer rejects and pollution reduction during submunition manufacturing.
  • Physical Description: 4 p.

Subject

  • Keyword: Materials Handling Equipment
  • Keyword: Chemical Explosives
  • Keyword: Quality Control
  • Keyword: Loading
  • Keyword: Design
  • Keyword: Neural Networks
  • STI Subject Categories: 45 Military Technology, Weaponry, And National Defense

Source

  • Conference: 2. international conference on engineering design and automation, Maui, HI (United States), 9-12 Aug 1998

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Other: DE99000746
  • Report No.: LA-UR--98-2012
  • Report No.: CONF-980810--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 296654
  • Archival Resource Key: ark:/67531/metadc675166

Note

  • Display Note: OSTI as DE99000746