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,
Modified ART, |
| Author(s) |
Subrahmanyam, M. |
Sujatha, C. |
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| Abstract |
Two neural network based approaches, a multilayered feed forward neural network trained with supervised Error Back Propagation technique and an unsupervised Adaptive Resonance Theory-2 (ART2) based neural network were used ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ARTMAP,
Genetic Algorithms, |
| Author(s) |
Chen, J.J.G. |
Song, I.R. |
Yang, T.Y. |
|
| Abstract |
The Exchange Heuristic (EH) has demonstrated superior results compared with other RCS methods in solving Resource Constrained Scheduling (RCS) problems. Selecting the most promising target constitutes the success of EH. The ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
|
| Author(s) |
Grassman, U. |
|
| Abstract |
A monitoring of a vehicle interior is effected by detecting sound waves in a vehicle interior, either from an incursion source or as reflected as echo waves and decomposing the electrical signals representing those detected ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Network Analysis,
Models:
ART 1, |
| Author(s) |
Barillaud, F. |
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| Abstract |
Bottleneck link speed, or the transmission speed of the slowest link within a path between two nodes, is determining by transmitting a sequence of ICMP ECHO data packets from the source node to the target node at a selected ... |
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| Categories |
Topics:
Machine Learning,
Models:
Fuzzy ARTMAP,
Modified ART, |
| Author(s) |
Tan, A. |
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| Abstract |
This paper introduces Cascade ARTMAP, a system based on fuzzy ARTMAP with an addition of rule-based knowledge discovery and prior knowledge initialization, used for symbolic knowledge extraction and ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Market Research,
Medical Diagnosis,
Models:
ART 2-A, |
| Author(s) |
Buydens, L. |
Devillers, J. |
Domine, D.M.C. |
Wienke, D. |
|
| Abstract |
The family of adaptive resonance theory (ART) based systems concerns distinct artificial neural networks for unsupervised and supervised clustering analysis. Among them, the ART 2-A paradigm presents numerous strengths for ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Human-Machine Interface,
Models:
Modified ART, |
| Author(s) |
Caglayan, A. |
Jacoby, J. |
Jones, R. |
Kumar, K. |
Mazzu, J. |
Snorrason, M. |
|
| Abstract |
Open Sesame!® 1.0—released in 1993—was the world’s first commercial user interface (UI) learning agent. The development of this agent involved a number of decisions about basic design issues that had not been previously ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Biological Classification,
Models:
ARTMAP, |
| Author(s) |
Bartfai, G. |
|
| Abstract |
This article analyses the match tracking anomaly (MTA) of the ARTMAP neural network. The anomaly arises when an input pattern exactly matches its category prototype that the network has previously learned, and the network ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Chemical Analysis,
Industrial Control,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Buydens, L. |
Cammann, K. |
Feldhoff, R. |
Huth-Fehre, T. |
Kantimm, T. |
Wienke, D. |
van den Broek, W. |
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| Abstract |
The supervised working FuzzyARTMAP pattern recognition algorithm has been applied to automated identification of post-consumer plastics by near-infrared spectroscopy (NIRS). Experimentally, a remote operating parallel ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Chemical Analysis,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Buydens, L. |
Wienke, D. |
|
| Abstract |
The FuzzyARTMAP algorithm is studied with respect to its usefulness for supervised chemical pattern recognition. The theory of this relatively complex artificial neural classifier is presented in detail for chemists. An ... |
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