Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
McLaughlin, C. |
Tansel, I.N. |
Mekdeci, C. |
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| Abstract |
Detection of tool failure is very important in automated manufacturing. In this study, tool failure detection was conducted in two steps by using Wavelet Transformations and Neural Networks (WT-NN). In the first step, data ... |
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| Categories |
Topics:
Neural Hardware,
Models:
ART 1,
Modified ART, |
| Author(s) |
Ho, C.S. |
Liou, J.J. |
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| Abstract |
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, called the augmented ART-1 neural network (AART1-NN) is presented. An axon-synapse-tree structure is used to realize the ... |
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| Categories |
Topics:
Machine Learning,
Models:
Fuzzy ARTMAP,
Modified ART, |
| Author(s) |
Harrison, R.F. |
Marriott, S. |
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| Abstract |
A neural architecture, fuzzy ARTMAP, is considered here as an alternative to standard feedforward networks for noisy mapping tasks. It is one of a series of architectures based upon adaptive resonance theory or ART. Like ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Other,
Models:
ART 2 / Fuzzy ART,
Modified ART, |
| Author(s) |
Pham, D.T. |
Sukkar, M.F. |
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| Abstract |
A supervised neural network, SMART2, has been developed which can be used with the ART2 algorithm for modelling discrete dynamic systems. A new layer has been added as a higher transformation stage to provide an output ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Chemical Analysis,
Industrial Control,
Models:
ART 2-A, |
| Author(s) |
Buydens, L. |
Cammann, K. |
Feldhoff, R. |
Kantimm, T. |
Melssen, W. |
Quick, L. |
Wienke, D. |
Winter, F. |
van der Broek, W. |
HuthFehre, T. |
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| Abstract |
An Adaptive Resonance Theory Based Artificial Neural Network (ART-2a) has been compared with Multilayer Feedforward Backpropagation of Error Neural Networks (MLF-BP) and with the SIMCA classifier. All three classifiers were ... |
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| Categories |
Applications:
Chemical Analysis,
Models:
ART 2-A,
ARTMAP,
Fuzzy ARTMAP, |
| Author(s) |
Buydens, L. |
Wienke, D. |
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| Abstract |
The family of artificial neural networks based on Adaptive Resonance Theory (ART) forms a collection of distinct mathematical pattern recognition methods. The classification of sensor signals, process data analysis, spectral ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Human-Machine Interface,
Models:
Other, |
| Author(s) |
Austvold, S.M. |
Bigus, J.P. |
Henckel, J.D. |
Hospers, P.A. |
|
| Abstract |
An enhanced neural network shell for application programs is disclosed. The user is prompted to enter in non-technical information about the specific problem type that the user wants solved by a neural network. The user also ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 2 / Fuzzy ART,
Modified ART, |
| Author(s) |
Fausett, L.V. |
Ham, F.H. |
Han, G. |
|
| Abstract |
Fuzzy LAPART (laterally primed adaptive resonance theory), a neural network architecture for supervised learning through logical inferencing, is introduced with fast and slow learning algorithms and match tracking ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Other,
Models:
ARTMAP,
Modified ART, |
| Author(s) |
Tan, A. |
|
| Abstract |
This article introduces a neural architecture termed Adaptive Resonance Associative Map (ARAM) that extends unsupervised Adaptive Resonance Theory (ART) systems for rapid, yet stable, heteroassociative learning. ARAM can be ... |
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| Categories |
Topics:
Image Analysis,
Applications:
Character Recognition,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Bortolozzi, F. |
Murshed, N. |
Sabourin, R. |
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| Abstract |
This work proposes a new approach to signature verification. It is inspired by the human learning and the approach adopted by the expert examiner of signatures, in which an a priori knowledge of the class of forgeries is not ... |
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