Title :
Real-time pattern recognition. II. Visual conjunctoid neural networks
Author :
Hu, Yalin ; Ma, Keping ; Jannarone, Robert
Author_Institution :
Dept. of Electr. & Comput. Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
For pt.I, see ibid., p.580-3 (1991). Keping Ma (1991) studied alternative approached to airplane recognition. In one comparative study, he evaluated various forms of conjunctoid and normal model performance, based on conjunctive features such as the number of acute, right, and obtuse angles appearing in the visual contour of an airplane. In this paper, the authors first review some Ma´s related results. They then describe some of the mathematical details associated with the conjunctoid counterpart to the normal model. The authors also describe some preliminary steps toward automating the feature selection process for conjunctoid neural networks in airplane recognition settings, with an eye toward developing a quite general automatic data processing framework
Keywords :
computerised pattern recognition; neural nets; airplane recognition; feature selection; general automatic data processing framework; normal model; real-time pattern recognition; visual conjunctoid neural networks; Airplanes; Artificial neural networks; Cellular neural networks; Data processing; Neural networks; Pattern recognition; Process control; Quality control; Quality management; Statistics;
Conference_Titel :
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location :
Columbia, SC
Print_ISBN :
0-8186-2190-7
DOI :
10.1109/SSST.1991.138635