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Michael J. Healy (Selection)

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16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy: Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents. IJCNN 2011: 2135-2142
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShawn E. Taylor, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell, Neal J. Cohen, Patrick Watson, Stephen J. Verzi, J. Daniel Morrow, Michael L. Bernard, Howard Eichenbaum: Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 2009: 733-737
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Thomas P. Caudell: Temporal semantics: An extended definition for neural morphisms. IJCNN 2009: 1184-1191
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell: Temporal semantics: An Adaptive Resonance Theory approach. IJCNN 2009: 3111-3117
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson: Applying category theory to improve the performance of a neural architecture. Neurocomputing 72(13-15): 3158-3173 (2009)
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShawn E. Taylor, Michael J. Healy, Thomas P. Caudell: Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity. IJCNN 2007: 2020-2025
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDulany B. Weaver, Michael J. Healy, Thomas P. Caudell: An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot. IJCNN 2007: 2058-2063
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRobert J. Young, Mike Ritthaler, Peter Zimmer, John McGraw, Michael J. Healy, Thomas P. Caudell: Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization. IJCNN 2007: 2123-2128
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Thomas P. Caudell: Generalized Lattices Express Parallel Distributed Concept Learning. Computational Intelligence Based on Lattice Theory 2007: 59-77
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Thomas P. Caudell: Knowledge Representation and Possible Worlds for Neural Networks. IJCNN 2006: 3047-3054
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas P. Caudell, Yunhai Xiao, Michael J. Healy: eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures. Neural Networks 16(5-6): 617-624 (2003)
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Thomas P. Caudell: Guaranteed two-pass convergence for supervised and inferential learning. IEEE Transactions on Neural Networks 9(1): 195-204 (1998)
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael J. Healy, Thomas P. Caudell: Acquiring rule sets as a product of learning in a logical neural architecture. IEEE Trans. Neural Netw. Learning Syst. 8(3): 461-474 (1997)

Selection of 13 from 16 records - Michael J. Healy has 23 coauthors

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