BASIC RESEARCH ON A LOOKOUT SUPPORT NEURAL NETWORK

The authors developed two prototype hierarchical neural networks to be used for a target ship's course estimation in daytime navigation. This paper is concerned with a picture recognition neural network system for a lookout support for nighttime navigation. The neural network topology is a three-layered network which consists of 182 units for input layer, 273 units for hidden layer and 21 units for output layer. The neural network input data is the navigation lamps location's binary address which is calculated a result of a lapped navigational environment picture over a recognition map. The characteristics of the network output are analyzed and the possibility of building the lookout support picture recognition neural network system in nighttime is investigated.

  • Supplemental Notes:
    • J Japan Inst Navigation, v 92, March 1995, p 303 [10 p, 6 ref, 1 tab, 13 fig]
  • Authors:
    • Kawaguchi, J
    • Yamashita, C
  • Publication Date: 1995

Language

  • Japanese

Subject/Index Terms

Filing Info

  • Accession Number: 00716992
  • Record Type: Publication
  • Source Agency: British Maritime Technology
  • Files: TRIS
  • Created Date: Mar 4 1996 12:00AM