Neural Network Research at NOSC (Naval Ocean Systems Center)
Abstract
Neural networks have undergone a resurgence of late, due to the work of Hopfield, Grossberg and others. They have the potential for applications in a wide range of areas, including signal processing, image processing, planning, control, and data fusion. In this paper we will address the applications being explored at NOSC. The author describes experiences with two neural network products currently being marketed: the Hecht-Nielsen Anza Neurocomputer and the SAIC Sigma-1 Neurocomputer. The projects will be grouped by the NOSC branch. In each case a point of contact will be given, though of course there may be others working on each project. From the wide range of problems being addressed, it is clear that the Navy has a strong interest in neural networks, and believes that they are well suited to a wide range of applications. The authors are in Code 421, and as such have complete knowledge of the neural network research ongoing in Code 421. The descriptions of the work being done elsewhere at NOSC are based on varying degrees of interaction. For many, first hand knowledge of the research is present. The authors are in fact working directly with many groups outside their own code. For others, the interaction is not as thorough. In any case, the interested reader should contact the specific group indicated for a more depth discussion of the work described herein. Keywords: Command and control, Electro-optical, Opto-electronic devices.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1988
- Accession Number
- ADA209091
Entities
People
- Carey E. Priebe
- David Marchette