Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
| Categories |
Topics:
Image Analysis,
Applications:
Character Recognition,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Bortolozzi, F. |
Murshed, N. |
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| Abstract |
This paper presents a method for recognizing graphics symbols of electronic components in a database of circuit layouts. The method is based on the one-class problem approach on our ability to recognize a 2D-objects without ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Human-Machine Interface,
Models:
ART 1,
Modified ART, |
| Author(s) |
Ishihara, K. |
Ishihara, S. |
Matsubara, Y. |
Nagamachi, M. |
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| Abstract |
Kansei engineering is a technology for translating human feelings into product design. Several multivariate analyses are used for analyzing human feelings and building rules. Although these methods are reliable, they require ... |
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| Categories |
Topics:
Image Analysis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
AshforthFrost, S. |
Fontama, V.N. |
Hartle, S.L. |
Jambunathan, K. |
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| Abstract |
A novel algorithm for obtaining flow velocity vectors using ART2 networks (based on adaptive resonance theory) is presented. The method involves tracking the movement of groups of seeding particles in a fluid space through ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 1,
Modified ART, |
| Author(s) |
Caudell, T.P. |
Healy, M.J. |
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| Abstract |
Envisioning neural networks as systems that learn rules calls forth the verification issues already being studied in knowledge-based systems engineering, and complicates these with neural-network concepts such as nonlinear ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART,
ART 2-A, |
| Author(s) |
Durg, A. |
Keyvan, S. |
Nagaraj, J. |
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| Abstract |
A prototype of a Signal Monitoring System (SMS) utilizing artificial neural networks is developed in this work. The prototype system is unique in: 1) its utilization of state-of-the-art technology in pattern recognition such ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 2 / Fuzzy ART,
Modified ART, |
| Author(s) |
Molenaar, P. |
Raijmakers, M. |
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| Abstract |
In this article we introduce a continuous time implementation of adaptive resonance theory (ART). ART designed by Grossberg concerns neural networks that self-organize stable pattern recognition categories of arbitrary ... |
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| Categories |
Topics:
Image Analysis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Chang, T.C. |
Chatterjee, S. |
Lankalapalli, K. |
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| Abstract |
A self-organizing neural network, ART2, based on adaptive resonance theory (ART), is applied to the problem of feature recognition from a boundary representation (B-rep) solid model. A modified face score vector calculation ... |
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| Categories |
Topics:
Image Analysis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Naghdy, G. |
Ogunbona, P. |
Wang, J. |
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| Abstract |
A new method of texture classification comprising two processing stages, namely a low-level evolutionary feature extraction based on Gabor wavelets and a high-level neural network based pattern recognition, is proposed. The ... |
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| Categories |
Topics:
Image Analysis,
Machine Learning,
Applications:
Remote Sensing,
Models:
Modified ART,
Self Organizing Maps, |
| Author(s) |
Cha, J.W. |
Kim, E.S. |
Ryu, C.S. |
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| Abstract |
A modified adaptive resonance theory (mART) neural network of modular structure is proposed. The similarity function and weight resolution of the ART neural networks are modified, and the cluster merging algorithm and ... |
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| Categories |
Topics:
Machine Learning,
Models:
ARTMAP, |
| Author(s) |
Williamson, J.R. |
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| Abstract |
Gaussian ARTMAP (GAM) is a supervised-learning adaptive resonance theory (ART) network that uses gaussian-defined receptive fields. Like other ART networks, GAM incrementally learns and constructs a representation of ... |
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