Title :
A knowledge-based system for multiple pattern recognition paradigms support
Author :
Chen, Yufeng F. ; Warsi, Naqueeb Ahmad
Author_Institution :
Clark Atlanta Univ., GA, USA
Abstract :
This paper focuses on developing a knowledge-based system with multiple pattern recognition paradigms to support a variety of facilities for an intelligent pattern classifier design. Since re-developing a pattern recognition system to fulfill the new requirements can be quite expensive, our work has inspired with research in software re-engineering by treating the existing pattern recognition software as a valuable resource. The approach lies in extracting knowledge intended to be reused from original pattern recognition programs and replacing them with libraries containing pre-generated packages. We then integrate these transformed packages into a specific application
Keywords :
knowledge based systems; knowledge representation; neural nets; pattern recognition; reverse engineering; software engineering; contextual knowledge representation; intelligent pattern classifier; knowledge-based system; neural network; pattern recognition; reverse engineering; software re-engineering; statistical pattern recognition; Application software; Computer networks; Concurrent computing; Knowledge based systems; Neural networks; Packaging; Pattern recognition; Software libraries; Training data; USA Councils;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537922
