Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
| Categories |
Topics:
Machine Learning,
Applications:
Medical Diagnosis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Doukyu, N. |
Hayashi, S. |
Honda, H. |
Kobayashi, T. |
Shimizu, K. |
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| Abstract |
A time-course gene-expression profile was generated for Escherichia coli TK31 when it was exposed to an organic solvent mixture, and classified by fuzzy adaptive resonance theory (Fuzzy ART). It was found that the purR ... |
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| Categories |
Topics:
Neural Hardware,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Bhavsar, V.C. |
Chen, M. |
Ghorbani, A.A. |
|
| Abstract |
We have proposed earlier the incremental internode communication method to reduce the communication cost as well as the time of the learning process in artificial neural netwofrks (ANNs). In this paper, the limited precision ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Chang, HC. |
Ye, Z. |
Zhang, M.Y. |
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| Abstract |
In this paper, a novel transform domain digital watermarking scheme that uses visually meaningful binary image as watermark has been developed. The method embeds the watermark information adaptively with localized embedding ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Li, R.K. |
Liu, T.C. |
|
| Abstract |
This study presents a novel Adaptive resonance theory-Counterpropagation neural network (ART-CPN) for solving forecasting problems. The network is based on the ART concept and the CPN learning algorithm for constructing the ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Kezunovic, M. |
Vasilic, S. |
|
| Abstract |
This paper introduces advanced pattern recognition algorithm for classifying the transmission line faults, based on combined use of neural network and fuzzy logic. The approach utilizes self-organized, supervised Adaptive ... |
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| Categories |
Topics:
Robotics,
Applications:
Industrial Control,
Models:
ARTMAP,
Fuzzy ARTMAP, |
| Author(s) |
CoronaCastuera, J. |
LopezJuarez, I. |
OrdazHernandez, K. |
PenaCabrera, M. |
|
| Abstract |
Robotic agents can greatly be benefited from the integration of perceptual learning in order to monitor and adapt to changing environments. To be effective in complex unstructured environments, robots have to perceive the ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1, |
| Author(s) |
Chen Y.M. |
Chen, Y.N. |
Chu, H.C. |
Wang, C.B. |
|
| Abstract |
Engineering design is a knowledge intensive process. The execution of each task in the process requires various aspects of knowledge and experience. Therefore, organizing, storing and retrieving product design information, ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Network Analysis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Kuo, R.J. |
Liao, J.L. |
Tu, C. |
|
| Abstract |
Neural networks and genetic algorithms are useful for clustering analysis in data mining. Artificial neural networks (ANNs) and genetic algorithms (GAs) have been applied in many areas with very promising results. Thus, this ... |
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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. |
Qin, X.Y. |
|
| Abstract |
The aerosol time-of-flight mass spectrometry (ATOFMS) has not generally been used to provide a quantitative estimation of chemical compositions of ambient aerosols. In an initial study, the possibility of developing a ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2-A, |
| Author(s) |
Tai, N.L. |
Yang, Y. |
Yu, W.Y. |
|
| Abstract |
This paper introduces a new phase selector based on adaptive resonance theory (ART). Because conventional phase selector cannot adapt dynamically to the power system operating conditions, it presents different characters ... |
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