Browse by Citation

Note: Authors are listed alphabetically, not necessarily in bibliographic order.

Ishihara, K. , Ishihara, S. , Matsubara, Y. , Nagamachi, M., An analysis of Kansei structure on shoes using self-organizing neural networks, INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS Volume: 19 Issue: 2 Pages: 93-104 (1997).

Jiang, P. , Mair, Q., A Self-Organizational Management Network Based on Adaptive Resonance Theory, Agent Technologies, Infrastructures, Tools, and Applications for E-Services, 211-225 (2003).

Kaburlasos, V. , Petridis, V., Fuzzy lattice neurocomputing (FLN) models, NEURAL NETWORKS Volume: 13 Issue: 10 Pages: 1145-1170 (2000).

Kane, J.S. , Paquin, M.J., POPART: partial optical implementation of adaptive resonance theory 2, IEEE Transactions on Neural Networks, vol.4, no.4, pp.695-702 (1993).

Keskin, G.A. , Ozkan, C., An Alternative Evaluation of FMEA: Fuzzy ART Algorithm, QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL Volume: 25 Issue: 6 Pages: 647-661 (2009).

Kezunovic, M. , Vasilic, S., Fuzzy ART neural network algorithm for classifying the power system faults, IEEE TRANSACTIONS ON POWER DELIVERY Volume: 20 Issue: 2 Pages: 1306-1314 Part: Part 2 (2005).

Kezunovic, M. , Zhang, N., A real time fault analysis tool for monitoring operation of transmission line protective relay, ELECTRIC POWER SYSTEMS RESEARCH Volume: 77 Issue: 3-4 Pages: 361-370 (2007).

Khan, E.R., Neural network apparatus and method for pattern recognition, Patent number: 5058180 Issue date: Oct 15, 1991 (2004).

Kim, H.J. , Jung, J.W. , Kim, S.Y., On-line Chinese character recognition using ART-based stroke classification, PATTERN RECOGNITION LETTERS Volume: 17 Issue: 12 Pages: 1311-1322 (1996).

Kim, H.J. , Kim, J.W. , Kim, S.K., On-line recognition of cursive Korean characters using neural networks, NEUROCOMPUTING Volume: 10 Issue: 3 Pages: 291-305 (1996).

Kim, J.T. , Kim, K.Y. , Lee, D.Y. , Lee, I.S. , Lee, J.W., Model-based fault detection and isolation method using ART2 neural network, INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS Volume: 18 Issue: 10 Pages: 1087-1100 (2003).

Kim, Y. , Sun, S., Color clustering for scene change detection and object tracking in video sequences, Patent number: 6272250 Issue date: Aug 7, 2001 (2001).

Kim, Y. , Sun, S., Motion estimation within a sequence of data frames using optical flow with adaptive gradients, Patent number: 6480615 Issue date: Nov 12, 2002 (2002).

Klein, R., Method and system for diagnostics and prognostics of a mechanical system, Patent number: 7027953 Issue date: April 11, 2006 (2006).

Komorowski, D. , Kostka, P.S. , Tkacz, E.J., Hybrid feature vector extraction in unsupervised learning neural classifier, Conf Proc IEEE Eng Med Biol Soc Volume: 6 Pages: 5664-7 (2005).

Kondadadi, R. , Kozma, R., A Modified Fuzzy ART for Soft Document Clustering, International Joint Conference on Neural Networks, World Congress on Computational Intelligence, Honolulu, Hawaii, pp. 2545-2549 (2002).

Kumar, A. , Shetty, R.K., Neuro/fuzzy hybrid approach to clustering data, Patent number: 6904420 Issue date: June 7, 2005 (2005).

Kuo, R.J. , Liao, J.L. , Tu, C., Integration of ART2 neural network and genetic K-means algorithm for analyzing Web browsing paths in electronic commerce, DECISION SUPPORT SYSTEMS Volume: 40 Issue: 2 Pages: 355-374 (2005).

Lavoie, P. , Crespo, J.F. , Savaria, Y., Generalization, discrimination, and multiple categorization using adaptive resonance theory, IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 10 Issue: 4 Pages: 757-767 (1999).

Lee, E.W.M , Chee, P.L. , Lo, S.M. , Yuen, R.K.K., A hybrid neural network model for noisy data regression, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Volume 34, Issue 2, April 2004 Page(s): 951 - 960 (2004).

Lee, E.W.M , Lee, Y.Y. , Lim, C.P. , Tang, C.Y., Application of a noisy data classification technique to determine the occurrence of flashover in compartment fires, ADVANCED ENGINEERING INFORMATICS Volume: 20 Issue: 2 Pages: 213-222 (2006).

Lee, K.H. , Ong, S.H. , Venkatesh, Y.V. , Yeo, N.C., Colour image segmentation using the self-organizing map and adaptive resonance theory, IMAGE AND VISION COMPUTING, Volume: 23 Issue: 12, 1060-1079 (2005).

Lerner, B. , Vigdor, B., The Bayesian ARTMAP, TRANSACTIONS ON NEURAL NETWORKS Volume: 18 Issue: 6 Pages: 1628-1644 (2007).

Li, H. , Liu, J.F. , Wang, A. , Yu, Z.G. , Yuan, W.J., A novel pattern recognition algorithm: Combining ART network with SVM to reconstruct a multi-class classifier, COMPUTERS & MATHEMATICS WITH APPLICATIONS Volume: 57 Issue: 11-12 Pages: 1908-1914 (2009).

Li, R.K. , Liu, T.C., A new ART-counterpropagation neural network for solving a forecasting problem, EXPERT SYSTEMS WITH APPLICATIONS Volume: 28 Issue: 1 Pages: 21-27 (2005).

Li, X.Q. , Nee, A.Y.C. , Wong, Y.S., Intelligent tool wear identification based on optical scattering image and hybrid artificial intelligence techniques, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE Volume: 213 Issue: 2 Pages: 191-196 (1999).

Liao, Y. , Pasos, A. , Vemuri, V.R., Adaptive anomaly detection with evolving connectionist systems, JOURNAL OF NETWORK AND COMPUTER APPLICATIONS Volume: 30 Issue: 1 Pages: 60-80 (2006).

Lim, C.P. , Abidin, I. Z. , Yap, K.S., A hybrid ART-GRNN online learning neural network with a epsilon -insensitive loss function, IEEE Trans Neural Netw Volume: 19 Issue: 9 Pages: 1641-6 (2008).

Lim, C.P. , Lai, W.K. , Loy, C.C. , Tan, C.P., Robust Modular Artmap For Multi-Class Shape Recognition, International Joint Conference on Neural Networks (IJCNN) Pages: 2405-2412 (2008).

Lim, C.P. , Rao, M.V.C. , Tan, S.C., A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm, SOFT COMPUTING Volume: 12 Issue: 8 Pages: 765-775 (2008).

Lin, TC. , Yu, PT., Centroid neural network adaptive resonance theory for vector quantization, Signal Processing. Volume 83, Issue 3, 649-654 (2003).

LinaresBarranco, B. , SerranoGotarredona, T., Adaptive resonance theory microchips, Foundations and Tools for Neural Modeling, 1999 (1999).

LinaresBarranco, B. , SerranoGotarredona, T., A low-power current mode fuzzy-ART cell, IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 17 Issue: 6 Pages: 1666-1673 (2006).

LinaresBarranco, B. , SerranoGotarredona, T., A modified ART 1 algorithm more suitable for VLSI implementations, NEURAL NETWORKS Volume: 9 Issue: 6 Pages: 1025-1043 (1996).

Liu, D.R. , Lloyd, S.R. , Pang, Z.Y., A neural network method for detection of obstructive sleep apnea and narcolepsy based on pupil size and EEG, IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 19 Issue: 2 Pages: 308-318 (2008).

Liu, L. , Huang, L.H. , Lai, M.Y. , Ma, C.Q., Projective ART with buffers for the high dimensional space clustering and an application to discover stock associations, NEUROCOMPUTING Volume: 72 Issue: 4-6 Special Issue: Sp. Iss. SI Pages: 1283-1295 (2009).

LopezJuarez, I. , Howarth, M., Knowledge acquisition and learning in unstructured robotic assembly environments, INFORMATION SCIENCES Volume: 145 Issue: 1-2 Pages: 89-111 (2002).

Lu, N. , Tan, A. , Xiao, D., Integrating temporal difference methods and self-organizing neural networks for reinforcement learning with delayed evaluative feedback, IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 19 Issue: 2 Pages: 230-244 (2008).

Lughofer, E., Extensions of vector quantization for incremental clustering, PATTERN RECOGNITION Volume: 41 Issue: 3 Pages: 995-1011 (2008).

Mahapatra, S.S. , Pandian, R.S., Manufacturing cell formation with production data using neural networks, COMPUTERS & INDUSTRIAL ENGINEERING Volume: 56 Issue: 4 Pages: 1340-1347 (2009).

Mannan, B. , Ray, A.K. , Roy, J., Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images, INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 19 Issue: 4 Pages: 767-774 (1998).

Markuzon, N. , Reynolds, J.H. , Rosen, D.B., Attentive supervised learning and recognition by an adaptive resonance system, In G.A. Carpenter & S. Grossberg (Eds.), Neural Networks for Vision and Image Processing, Cambridge, MA: MIT Press, 365-384. (1992).

Massey, L., On the quality of ART1 text clustering, NEURAL NETWORKS Volume: 16 Issue: 5-6 Pages: 771-778 (2003).

Massey, L., Soft-clustering and improved stability for adaptive resonance theory neural networks, SOFT COMPUTING Volume: 12 Issue: 7 Pages: 657-665 (2008).

Massey, L., Discovery of hierarchical thematic structure in text collections with adaptive resonance theory, NEURAL COMPUTING & APPLICATIONS Volume: 18 Issue: 3 Pages: 261-273 (2009).

McKenna, T.S. , Rhodes, B.J. , Waxman, A.M., Information fusion for image analysis: Geospatial foundations for higher-level fusion, Proceedings of the 5th International Conference on Information Fusion, Annapolis, July. (2002).

McLaughlin, C. , Tansel, I.N. , Mekdeci, C., DETECTION OF TOOL FAILURE IN END MILLING WITH WAVELET TRANSFORMATIONS AND NEURAL NETWORKS (WT-NN), INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE Volume: 35 Issue: 8 Pages: 1137-1147 (1995).

Meng, Z. , Pao, Y.H., Visualization and self-organization of multidimensional data through equalized orthogonal mapping, Patent number: 6907412 Issue date: June 14, 2005 (2005).

Meuth, R.J. , Robinette, P., Computational Intelligence Meets the NetFlix Prize, IEEE International Joint Conference on Neural Networks (IJCNN) Vols:1-8 Pages: 686-691 (2008).

Mitra, S.D., Adaptive vector quantization/quantizer, Patent number: 6421467 Issue date: July 16, 2002 (2002).

Molenaar, P. , Raijmakers, M., Modeling developmental transitions in adaptive resonance theory, Developmental Science 7 (2) , 149-157 (2004).

Molenaar, P. , Raijmakers, M., Exact ART: A complete implementation of an ART network, NEURAL NETWORKS Volume: 10 Issue: 4 Pages: 649-669 (1997).

Muchoney, D. , Williamson, J.R., A Gaussian adaptive resonance theory neural network classificationalgorithm applied to supervised land cover mapping using multitemporalvegetation index data, IEEE Transactions on Geoscience and Remote Sensing, vol.39, no.9, 1969-1977 (2001).

Mulder S.A. , Wunsch, D.C., Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks, Neural Networks 16 (2003) 827?832 (2003).

Murshed, N., A Neural Network Structure for Detecting Straight Line Segments, Proceedings of the IJCNN 99. (1999).

Naghdy, G. , Ogunbona, P. , Wang, J., Wavelet-based feature-adaptive adaptive resonance theory neural network for texture identification, JOURNAL OF ELECTRONIC IMAGING Volume: 6 Issue: 3 Pages: 329-336 (1997).

Naghdy, G. , Ogunbona, P. , Wang, J., Performance enhancement for fuzzy adaptive resonance theory (ART) neural networks, ELECTRONICS LETTERS Volume: 32 Issue: 23 Pages: 2154-2154 (1996).

Ng, G.S. , Quek, C. , Razvi, K. , Tan, T.Z., Ovarian cancer diagnosis with complementary learning fuzzy neural network, ARTIFICIAL INTELLIGENCE IN MEDICINE Volume: 43 Issue: 3 Pages: 207-222 (2008).

Owechko, Y. , Srinivasan, N., Classification method and apparatus based on boosting and pruning of multiple classifiers, Patent number: 6456991 Issue date: Sep 24, 2002 (2002).

Pacella, M. , Semeraro, Q. , Anglani, A., Manufacturing quality control by means of a Fuzzy ART network trained on natural process data, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE Volume: 17 Issue: 1 Pages: 83-96 (2004).

Pacella, M. , Semeraro, Q., Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE Volume: 18 Issue: 6 Pages: 645-662 (2005).

Park, S. , Suresh, N.C., Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH Volume: 41 Issue: 14 Pages: 3185-3216 (2003).

Pham, D.T. , Chan, A.B., Unsupervised adaptive resonance theory neural networks for control chart pattern recognition, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE Volume: 215 Issue: 1 Pages: 59-67 (2001).

Pham, D.T. , Sukkar, M.F., Supervised adaptive resonance theory neural network for modelling dynamic systems, IEEE International Conference on Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., vol.3, 2500-2505 (1995).

Quek, C., A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture, PATTERN RECOGNITION LETTERS Volume: 22 Issue: 9 Pages: 941-958 (2001).

Sinnock, H.J., Distributed energy neural network integration system, Patent number: 6925361 Issue date: August 2, 2005 (2005).

Soon, H. , Tan, A.H., Concept Hierarchy Memory Model: A neural architecture for conceptual knowledge representation, learning, and commonsense reasoning, International Journal of Neural Systems, Vol. 7, No. 3, 305-319. (1996).

Srinivasan, N. , Jouaneh, M., AN INVARIANT PATTERN-RECOGNITION MACHINE USING A MODIFIED ART ARCHITECTURE, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS Volume: 23 Issue: 5 Pages: 1432-1437 (1993).

Subrahmanyam, M. , Sujatha, C., Using neural networks for the diagnosis of localized defects in ball bearings, TRIBOLOGY INTERNATIONAL Volume: 30 Issue: 10 Pages: 739-752 (1997).

Tai, N.L. , Yang, Y. , Yu, W.Y., ART artificial neural networks based adaptive phase selector, ELECTRIC POWER SYSTEMS RESEARCH Volume: 76 Issue: 1-3 Pages: 115-120 (2005).

Tan, A. , Teo, C., Learning user profiles for personalized information dissemination, Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on, Vol. 1, 183-188 (1998).

Tan, A., Adaptive resonance associative map, Neural Networks, Volume 8, Issue 3, 437-446 (1995).

Tan, A., Cascade ARTMAP: Integrating neural computation and symbolic knowledge processing, IEEE Transactions on Neural Networks, Vol. 8, No. 2, 237-250. (1997).

Tansel, I.N. , Demetgul, M. , Taskin, S., Fault diagnosis of pneumatic systems with artificial neural network algorithms, EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 7 Pages: 10512-10519 (2009).

Tzafestas, S.G. , Zikidis, K.C., NeuroFAST: On-line neuro-fuzzy ART-based structure and parameter learning TSK model, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Volume: 31 Issue: 5 Pages: 797-802 (2001).

Williamson, J.R., A constructive, incremental-learning network for mixture modeling and classification, NEURAL COMPUTATION Volume: 9 Issue: 7 Pages: 1517-1543 (1997).

Williamson, J.R., Gaussian ARTMAP: A neural network for past incremental learning of noisy multidimensional maps, NEURAL NETWORKS Volume: 9 Issue: 5 Pages: 881-897 (1996).

Xu, Z. , Shi, X.J. , Wang, L.Y. , Luo, J. , Zhong, C.J., Pattern recognition for sensor array signals using Fuzzy ARTMAP, SENSORS AND ACTUATORS B-CHEMICAL Volume: 141 Issue: 2 Pages: 458-464 (2009).

Yan, W. , Chen, HC. , Khoo, L.P., A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network, ADVANCED ENGINEERING INFORMATICS Volume: 16 Issue: 3 Pages: 229-240 (2002).