Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
| Categories |
Topics:
Image Analysis,
Applications:
Character Recognition,
Models:
ART 1, |
| Author(s) |
Kim, H.J. |
Kim, J.W. |
Kim, S.K. |
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| Abstract |
This paper proposes an efficient method for on-line recognition of cursive Korean characters. Since Korean characters are composed of two or three graphemes in two dimensions, strokes, primitive components of the characters, ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Remote Sensing,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Ganapathy, C. |
Idichandy, V.G. |
Mangal, L. |
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| Abstract |
A novel scheme using artificial neural networks to automate the vibration monitoring method of detecting the occurrence and location of damage in offshore jacket platforms is presented. A multiple neural network system is ... |
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| Categories |
Topics:
Machine Learning,
Models:
Fuzzy ARTMAP,
Modified ART, |
| Author(s) |
Williamson, J.R. |
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| Abstract |
A new neural network architecture for incremental supervised learning of analog multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a synthesis of a Gaussian classifier and an adaptive resonance ... |
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| Categories |
Topics:
Neural Hardware,
Applications:
Other,
Models:
ART 1, |
| Author(s) |
LinaresBarranco, B. |
SerranoGotarredona, T. |
|
| Abstract |
This paper presents a modification to the original ART 1 algorithm (Carpenter & Grossberg, 1987a, A massively parallel architecture for a self-organizing neural pattern recognition machine, Computer Vision, Graphics, and ... |
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| Categories |
Topics:
Machine Learning,
Models:
ART 1,
Modified ART, |
| Author(s) |
Bartfai, G. |
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| Abstract |
This paper introduces a neural architecture (HART for Hierarchical ART ) that is capable of learning hierarchical clusterings of arbitrary input sequences, The network is built up of layers of Adaptive Resonance Theory (ART) ... |
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| Categories |
Topics:
Image Analysis,
Applications:
Character Recognition,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Kim, H.J. |
Jung, J.W. |
Kim, S.Y. |
|
| Abstract |
This paper proposes an on-line Chinese character recognition method using Adaptive Resonance Theory (ART) based stroke classification. Strokes, primitive components of Chinese characters, are usually warped into a cursive ... |
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| Categories |
Topics:
Image Analysis,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Naghdy, G. |
Ogunbona, P. |
Wang, J. |
|
| Abstract |
A modified fuzzy adaptive resonance theory neural network (ART) is used as a classifier for a texture recognition system. The system consists of a wavelet based low level feature detector and a high level ART classifier. The ... |
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| Categories |
Topics:
Machine Learning,
Models:
ARTMAP,
Modified ART, |
| Author(s) |
Huang, H.H. |
Knapp, G.M. |
Lin, S.S. |
Wang, H.P. |
|
| Abstract |
The present invention provides a system and method for supervised training of a neural network. A neural network architecture and training method is disclosed that is a modification of an ARTMAP architecture. The modified ... |
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| Categories |
Topics:
Machine Learning,
Models:
Modified ART, |
| Author(s) |
Soon, H. |
Tan, A.H. |
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| Abstract |
This article introduces a neural network based cognitive architecture termed Concept Hierarchy Memory Model (CHMM) for conceptual knowledge representation and commonsense reasoning. CHMM is composed of two subnetworks: a ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Biological Classification,
Models:
ART 2 / Fuzzy ART, |
| Author(s) |
Hruska, S.I. |
Katholi, C.R. |
LeBlanc, C. |
Unnasch, T.R. |
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| Abstract |
Adaptive resonance theory (ART) describes a class of artificial neural network architectures that act as classification tools which self-organize, work in realtime, and require no retraining to classify novel sequences. We ... |
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