FRAMEWORK FOR EVOLUTIONARY DEVELOPMENT OF AN AUTONOMOUS EXPERT SYSTEM FOR ACOUSTICALLY IDENTIFYING CLASSIFICATIONS OF VESSELS

Authors
  1. Hayashi, R.M.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Abstract
The development of an autonomous expert system for identifying vessel classifications from passive acoustic spectrograms is the ultimate goal of Artificial Intelligence (AI) work being conducted at DREA. An evolutionary development is a natural approach since application of AI technology has not yet been placed on an engineering basis and development of complex systems is to some extent still a research endeavour. A framework consisting of a series of practically achievable assistant systems, in which a human operator and a computer share the identification task to varying extents, is proposed as a research-oriented basis for the development of a completely autonomous system.
Report Number
DREA-TM-89-202 — Technical Memorandum
Date of publication
15 Jan 1989
Number of Pages
25
DSTKIM No
89-01560
CANDIS No
59490
Format(s):
Hardcopy;Originator's fiche received by DSIS

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