Tech Transfers


Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.


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The application of clustering analysis for the critical areas on TFT-LCD panel (2008)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 2 / Fuzzy ART,
Author(s) Hsieh, K.L. |
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 ...

Comparison of two cluster analysis methods using single particle mass spectra (2008)
Categories Topics: Machine Learning, Applications: Chemical Analysis, Models: ART 2-A,
Author(s) Hopke, P. | Prather, K.A. | Zhao, W.X. |
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 ...

Towards the experimental evaluation of novel supervised fuzzy adaptive resonance theory for pattern classification (2008)
Categories
Author(s) Akhbardeh, A. | Koskinen, P.E. | Nikhil | Yli-Harja, O. |
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 ...

An intelligent ballistocardiographic chair using a novel SF-ART neural network and biorthogonal wavelets (2007)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: ART 2 / Fuzzy ART, Fuzzy ARTMAP,
Author(s) Akhbardeh, A. | Junnila, S. | Koivistoinen, T. | Varri, A. |
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 ...

Polytope ARTMAP: Pattern classification without vigilance based on general geometry categories (2007)
Categories Topics: Machine Learning, Models: ARTMAP,
Author(s) Ameneiro, S.B. | Amorim, D.G. | Delgado, M.F. |
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 ...

Multiclass cancer classification using semisupervised ellipsoid ARTMAP and particle swarm optimization with gene expression data (2007)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: ARTMAP,
Author(s) Anagnostopoulos, G.C. | Wunsch, D.C. | Xu, R. |
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 ...

New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index (2007)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: ARTMAP,
Author(s) Honda, H. | Kobayashi, T. | Takahashi, H. | Murase, Y. |
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 ...

A real time fault analysis tool for monitoring operation of transmission line protective relay (2007)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 2 / Fuzzy ART,
Author(s) Kezunovic, M. | Zhang, N. |
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 ...

A novel approach for vector quantization using a neural network, mean shift, and principal component analysis-based seed re-initialization (2007)
Categories Topics: Machine Learning, Models: ART 1,
Author(s) Chen, Y.N. | Han, C.C. | Lo, C.C. | Wang, C.T. |
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 ...

Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing (2007)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 1,
Author(s) Chien, C.F. | Hsu, S.C. |
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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