Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
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Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Hsieh, K.L. |
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| Abstract |
For thin film transistor-liquid crystal displays (TFT-LCD) factories in Taiwan, yield performance had become as an important competitiveness determinant during the competitive environment. As we known, the market for LCDs ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Chemical Analysis,
Models:
ART 2-A, |
| Author(s) |
Hopke, P. |
Prather, K.A. |
Zhao, W.X. |
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| Abstract |
Cluster analysis of aerosol time-of-flight mass spectrometry (ATOFMS) data has been an effective tool for the identification of possible sources of ambient aerosols. In this study, the clustering results of two typical ... |
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| Author(s) |
Akhbardeh, A. |
Koskinen, P.E. |
Nikhil |
Yli-Harja, O. |
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| Abstract |
This paper presents a comparative analysis of novel supervised fuzzy adaptive resonance theory (SF-ART), multilayer perceptron (MLP) and competitive neural trees (CNeT) Networks over three pattern recognition problems. We ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Medical Diagnosis,
Models:
ART 2 / Fuzzy ART,
Fuzzy ARTMAP, |
| Author(s) |
Akhbardeh, A. |
Junnila, S. |
Koivistoinen, T. |
Varri, A. |
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| Abstract |
This paper presents a comparative analysis of novel supervised fuzzy adaptive resonance theory (SF-ART), multilayer perceptron (MLP) and Multi Layer Perceptrons (MLP) neural networks over Ballistocardiogram (BCG) signal ... |
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| Categories |
Topics:
Machine Learning,
Models:
ARTMAP, |
| Author(s) |
Ameneiro, S.B. |
Amorim, D.G. |
Delgado, M.F. |
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| Abstract |
This paper proposes polytope ARTMAP (PTAM), an adaptive resonance theory (ART) network for classification tasks which does not use the vigilance parameter.. This feature is due to the geometry of categories in PTAM, which ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Medical Diagnosis,
Models:
ARTMAP, |
| Author(s) |
Anagnostopoulos, G.C. |
Wunsch, D.C. |
Xu, R. |
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| Abstract |
It is crucial for cancer diagnosis and treatment to accurately identify the site of origin of a tumor. With the emergence and rapid advancement of DNA microarray technologies, constructing gene expression profiles for ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Medical Diagnosis,
Models:
ARTMAP, |
| Author(s) |
Honda, H. |
Kobayashi, T. |
Takahashi, H. |
Murase, Y. |
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| Abstract |
An optimal and individualized treatment protocol based on accurate diagnosis is urgently required for the adequate treatment of patients. For this purpose, it is important to develop a sophisticated algorithm that can manage ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Kezunovic, M. |
Zhang, N. |
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| Abstract |
This paper proposes an integrated real time fault analysis tool for transmission line. The two primary techniques used in the fault analysis tool, fuzzy adaptive resonance theory (ART) neural network and synchronized ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 1, |
| Author(s) |
Chen, Y.N. |
Han, C.C. |
Lo, C.C. |
Wang, C.T. |
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| Abstract |
In this paper, a hybrid approach for vector quantization (VQ) is proposed for obtaining the better codebook. It is modified and improved based on the centroid neural network adaptive resonance theory (CNN-ART) and the ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1, |
| Author(s) |
Chien, C.F. |
Hsu, S.C. |
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| Abstract |
Semiconductor manufacturing involves lengthy and complex processes, and hence is capital intensive. Companies compete with each other by continuously employing new technologies, increasing yield, and reducing costs. Yield ... |
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