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) |
Keskin, G.A. |
Ozkan, C. |
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| Abstract |
Failure Mode and Effects Analysis (F MEA) is a technique used in the manufacturing industry to improve production quality and productivity. It is a method that evaluates possible failures in the system, design, process or ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Chemical Analysis,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Xu, Z. |
Shi, X.J. |
Wang, L.Y. |
Luo, J. |
Zhong, C.J. |
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| Abstract |
A Fuzzy ARTMAP classifier for pattern recognition in chemical sensor array was developed based on Fuzzy Set Theory and Adaptive Resonance Theory. In contrast to most current classifiers with difficulty in detecting new ... |
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| Categories |
Topics:
Image Analysis,
Models:
ARTMAP, |
| Author(s) |
Anton |
Rodriguez, M. |
Diaz |
Pernas, F.J. |
Diez |
Higuera, J.F. |
Martinez |
Zarzuela, M. |
Gonzalez |
Ortega, D. |
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| Abstract |
The aim of this paper is to outline a multiple scale neural model to recognise colour images of textured scenes. This model combines colour and textural information in order to recognise colour texture images through the ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Tansel, I.N. |
Demetgul, M. |
Taskin, S. |
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| Abstract |
Pneumatic systems repeat the identical programmed sequence during their operation. The data was collected when the pneumatic system worked perfectly and had some faults including empty magazine, zero vacuum, inappropriate ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 2 / Fuzzy ART,
Modified ART, |
| Author(s) |
Almonacid, M. |
Cano-Izquierdo, J.M. |
Ibarrola, J. |
Pinzolas, M. |
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| Abstract |
The temporal character of the input is, generally, not taken into account in the neural models. This paper presents an extension of the FasArt model focused on the treatment of temporal signals.
FasArt model is proposed as ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 1,
Modified ART,
Self Organizing Maps, |
| Author(s) |
Li, H. |
Liu, J.F. |
Wang, A. |
Yu, Z.G. |
Yuan, W.J. |
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| Abstract |
Based on the principle of one-against-one support vector machines (SVMs) multi-class classification algorithm, this paper proposes an extended SVMs method which couples adaptive resonance theory (ART) network to reconstruct ... |
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| Categories |
Topics:
Machine Learning,
Models:
ARTMAP,
Fuzzy ARTMAP,
Modified ART,
Genetic Algorithms, |
| Author(s) |
Anagnostopoulos, G.C. |
Georgiopoulos, M. |
Kaylani, A. |
Mollaghasemi, M. |
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| Abstract |
This paper focuses on classification problems, and in particular on the evolution of ARTMAP architectures using genetic algorithms, with the objective of improving generalization performance and alleviating the adaptive ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1, |
| Author(s) |
Mahapatra, S.S. |
Pandian, R.S. |
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| Abstract |
Batch type production strategies need adoption of cellular manufacturing (CM) in order to improve operational effectiveness by reducing manufacturing lead time and costs related to inventory and material handling. CM ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Information Fusion,
Models:
ARTMAP,
Modified ART, |
| Author(s) |
Brannon, N.G. |
Draelos, T.J. |
Seiffertt, J.E. |
Wunsch, D.C. |
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| Abstract |
Domains such as force protection require an effective decision maker to maintain a high level of situation awareness. A system that combines humans with neural networks is a desirable approach. Furthermore, it is ... |
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| Categories |
Topics:
Biological Vision,
Image Analysis,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Chen, S.W. |
Fang, C.Y. |
Cherng, S. |
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| Abstract |
Driving always involves risk. Various means have been proposed to reduce the risk. Critical motion detection of nearby moving vehicles is one of the important means of preventing accidents. In this paper, a computational ... |
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