| 2007 |
|---|
| 10 | EE | Shawn 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 |
| 9 | EE | Dulany 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 |
| 8 | EE | Robert 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 |
| 7 | EE | Michael J. Healy,
Thomas P. Caudell:
Generalized Lattices Express Parallel Distributed Concept Learning.
Computational Intelligence Based on Lattice Theory 2007: 59-77 |
| 2006 |
|---|
| 6 | EE | Michael J. Healy,
Thomas P. Caudell:
Knowledge Representation and Possible Worlds for Neural Networks.
IJCNN 2006: 3047-3054 |
| 2003 |
|---|
| 5 | EE | Thomas 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) |
| 2000 |
|---|
| 4 | EE | Michael J. Healy:
Category Theory Applied to Neural Modeling and Graphical Representations.
IJCNN (3) 2000: 35-40 |
| 3 | EE | Stephen J. Verzi,
Gregory L. Heileman,
Michael Georgiopoulos,
Michael J. Healy:
Hierarchical ARTMAP.
IJCNN (6) 2000: 41-46 |
| 1999 |
|---|
| 2 | EE | Michael J. Healy:
A Topological Semantics for Rule Extraction with Neural Networks.
Connect. Sci. 11(1): 91-113 (1999) |
| 1998 |
|---|
| 1 | EE | Michael J. Healy,
Thomas P. Caudell:
Guaranteed two-pass convergence for supervised and inferential learning.
IEEE Transactions on Neural Networks 9(1): 195-204 (1998) |
