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Robust Modular Artmap For Multi-Class Shape Recognition (2008)
Categories Topics: Machine Learning, Models: Fuzzy ARTMAP, Modified ART,
Author(s) Lim, C.P. | Lai, W.K. | Loy, C.C. | Tan, C.P. |
Abstract This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP). The prediction of class membership is made collectively by ...

Data Mining System for Biochemical Analysis in Experimental Physiology (2008)
Categories Topics: Image Analysis, Applications: Biological Classification, Models: ART 2 / Fuzzy ART,
Author(s) Aguilar, J. | AlDaraiseh, A. | Altamiranda, J. | Hernandez, L. |
Abstract We develop a Data Mining system to assist with the elucidation by graphical means of the biochemical changes in the brains of rodents. Manual analysis of such experiments is increasingly impractical because of the voluminous ...

Speaker normalization using cortical strip maps: A neural model for steady state vowel categorization (2008)
Categories Topics: Speech and Hearing, Applications: Human-Machine Interface, Models: Fuzzy ARTMAP,
Author(s) Ames, H. | Grossberg, S. |
Abstract Auditory signals of speech are speaker dependent, but representations of language meaning are speaker independent. The transformation from speaker-dependent to speaker-independent language representations enables speech to ...

A neural network method for detection of obstructive sleep apnea and narcolepsy based on pupil size and EEG (2008)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: ART 2 / Fuzzy ART,
Author(s) Liu, D.R. | Lloyd, S.R. | Pang, Z.Y. |
Abstract Electroencephalogram (EEG) is able to indicate states of mental activity ranging from concentrated cognitive efforts to sleepiness. Such mental activity can be reflected by EEG energy. In particular, intrusion of EEG theta ...

Soft-clustering and improved stability for adaptive resonance theory neural networks (2008)
Categories Topics: Machine Learning, Applications: Other, Models: ART 1, ART 2 / Fuzzy ART, ART 2-A, ARTMAP, Fuzzy ARTMAP,
Author(s) Massey, L. |
Abstract Stability and plasticity in learning systems are both equally essential, but achieving stability and plasticity simultaneously is difficult. Adaptive resonance theory (ART) neural networks are known for their plastic and ...

Incremental clustering of mixed data based on distance hierarchy (2008)
Categories Topics: Machine Learning, Applications: Information Fusion, Models: ART 1, ART 2 / Fuzzy ART,
Author(s) Hsu, C.C. | Huang, Y.P. |
Abstract Clustering is an important function in data mining. Its typical application includes the analysis of consumer s materials. Adaptive resonance theory network (ART) is very popular in the unsupervised neural network. Type I ...

Automating construction of a domain ontology using a projective adaptive resonance theory neural network and Bayesian network (2008)
Categories Topics: Machine Learning, Applications: Network Analysis, Models: ART 1,
Author(s) Chen, R.C. | Chuang, C.H. |
Abstract Research on semantic webs has become increasingly widespread in the computer science community. The core technology of a semantic web is an artefact called an ontology. The major problem in constructing an ontology is the ...

Ovarian cancer diagnosis with complementary learning fuzzy neural network (2008)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: Fuzzy ARTMAP,
Author(s) Ng, G.S. | Quek, C. | Razvi, K. | Tan, T.Z. |
Abstract Early detection is paramount to reduce the high death rate of ovarian cancer. Unfortunately, current detection toot is not sensitive. New techniques such as deoxyribonucleic acid (DNA) micro-array and proteomics data are ...

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm (2008)
Categories Topics: Machine Learning, Models: Fuzzy ARTMAP,
Author(s) Lim, C.P. | Rao, M.V.C. | Tan, S.C. |
Abstract This paper presents a novel conflict-resolving neural network classifier that combines the ordering algorithm, fuzzy ARTMAP (FAM), and the dynamic decay adjustment (DDA) algorithm, into a unified framework. The hybrid ...

A hybrid ART-GRNN online learning neural network with a epsilon -insensitive loss function (2008)
Categories Topics: Machine Learning, Models: ARTMAP, Fuzzy ARTMAP,
Author(s) Lim, C.P. | Abidin, I. Z. | Yap, K.S. |
Abstract In this brief, a new neural network model called generalized adaptive resonance theory (GART) is introduced. GART is a hybrid model that comprises a modified Gaussian adaptive resonance theory (MGA) and the generalized ...

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