In this paper, we describe a case-based system using fuzzy logic type neural networks for diagnosing electronic systems. We present a brief derivation of OR and AND neurons and the architecture of our system. To illus...
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In this paper, we describe a case-based system using fuzzy logic type neural networks for diagnosing electronic systems. We present a brief derivation of OR and AND neurons and the architecture of our system. To illustrate the effectiveness of the proposed system, we show experimental results on real data from call logs collected at the technical support centre in Ericsson Australia.
This paper discusses a technique that effectively combines conceptual graph theory with fuzzy logic for 3D object recognition. The suitability of fuzzy conceptual graphs for learning continuous valued features is brou...
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This paper discusses a technique that effectively combines conceptual graph theory with fuzzy logic for 3D object recognition. The suitability of fuzzy conceptual graphs for learning continuous valued features is brought out with a machinevision system that employs model-based object recognition. The object recognition system learns instances of segmented range objects from different views, represented in terms of fuzzy conceptual graphs as a memory aggregate. Recognition is done by deriving a conceptual graph for a query and performing graph matching. The technique is found suitable for continuous valued concepts and hence used as with a powerful capability for learning.< >
An innovative and powerful method is proposed for measuring physical parameters of lines using the responses from a bank of Gabor (1946) filters. These measurements are made without resorting to an image ruler. First ...
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An innovative and powerful method is proposed for measuring physical parameters of lines using the responses from a bank of Gabor (1946) filters. These measurements are made without resorting to an image ruler. First the system is calibrated by establishing a relationship between the frequency of the Gabor filter and line length, then the length and angle of of isolated lines can be measured. A constraint on this method is that the lines in the scene need to be separated and isolated by a minimum distance. Results indicate that Gabor filters can be successfully applied to the measurement of geometric properties of objects, especially where Gabor filters are already being used for processing tasks. The best accuracies in terms of measurement error for the line length and angle measurements were 0.81% and 0.0% respectively.
We present a new off-line word recognition system that is able to recognise unconstrained handwritten words from their grey-scale images, and is based on structural and relational information in the handwritten word. ...
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