2008 |
23 | | Pramod Lakshmi Narasimha,
Sanjeev S. Malalur,
Michael T. Manry:
Small Models of Large Machines.
FLAIRS Conference 2008: 83-88 |
2007 |
22 | EE | Saurabh Sureka,
Michael T. Manry:
A Functional Link Network With Ordered Basis Functions.
IJCNN 2007: 1708-1713 |
21 | EE | Pramod Lakshmi Narasimha,
Michael T. Manry,
Francisco Maldonado:
Upper Bound on Pattern Storage in Feedforward Networks.
IJCNN 2007: 1714-1719 |
20 | EE | A. A. Abdurrab,
Michael T. Manry,
Jiang Li,
Sanjeev S. Malalur,
R. G. Gore:
A Piecewise Linear Network Classifier.
IJCNN 2007: 1750-1755 |
19 | EE | Hema Chandrasekaran,
Jiang Li,
W. H. Delashmit,
Pramod Lakshmi Narasimha,
Changhua Yu,
Michael T. Manry:
Convergent design of piecewise linear neural networks.
Neurocomputing 70(4-6): 1022-1039 (2007) |
2006 |
18 | | Pramod Lakshmi Narasimha,
Walter Delashmit,
Michael T. Manry,
Jiang Li,
F. J. Maldonado:
Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks.
FLAIRS Conference 2006: 706-712 |
17 | EE | Jiang Li,
Michael T. Manry,
Pramod Lakshmi Narasimha,
Changhua Yu:
Feature Selection Using a Piecewise Linear Network.
IEEE Transactions on Neural Networks 17(5): 1101-1115 (2006) |
16 | EE | Jiang Li,
Jianhua Yao,
Ronald M. Summers,
Nicholas Petrick,
Michael T. Manry,
Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection.
International Journal on Artificial Intelligence Tools 15(6): 893-916 (2006) |
2005 |
15 | | Changhua Yu,
Michael T. Manry,
Pramod Lakshmi Narasimha:
Sensitivity of Nonlinear Network Training to Affine Transformed Inputs.
FLAIRS Conference 2005: 591-597 |
14 | | Pramod Lakshmi Narasimha,
Michael T. Manry,
Changhua Yu:
Nonlinear Network Time-Series Forecasting Using Redundancy Reduction.
FLAIRS Conference 2005: 834-835 |
13 | EE | Changhua Yu,
Michael T. Manry,
Jiang Li:
Effects Of Nonsingular Preprocessing On Feedforward Network Training.
IJPRAI 19(2): 217-247 (2005) |
12 | EE | Jiang Li,
Michael T. Manry,
Changhua Yu,
D. Randall Wilson:
Prototype Classifier Design with Pruning.
International Journal on Artificial Intelligence Tools 14(1-2): 261-280 (2005) |
11 | EE | R. G. Gore,
Jiang Li,
Michael T. Manry,
Li-min Liu,
Changhua Yu,
John Wei:
Iterative Design of Neural Network Classifiers Through Regression.
International Journal on Artificial Intelligence Tools 14(1-2): 281-302 (2005) |
2004 |
10 | | Changhua Yu,
Michael T. Manry,
Jiang Li:
Hidden Layer Training via Hessian Matrix Information.
FLAIRS Conference 2004 |
9 | | Changhua Yu,
Michael T. Manry,
Jiang Li:
Invariance of MLP Training to Input Feature De-correlation.
FLAIRS Conference 2004 |
8 | | Jiang Li,
Michael T. Manry,
Li-min Liu,
Changhua Yu,
John Wei:
Iterative Improvement of Neural Classifiers.
FLAIRS Conference 2004 |
7 | | Jiang Li,
Michael T. Manry,
Changhua Yu:
Prototype Based Classifier Design with Pruning.
FLAIRS Conference 2004 |
2003 |
6 | | F. J. Maldonado,
Michael T. Manry:
A Pseudogenetic Algorithm for MLP Design based upon the Schmidt Procedure.
Neural Networks and Computational Intelligence 2003: 197-202 |
2000 |
5 | EE | Hema Chandrasekaran,
Hung-Han Chen,
Michael T. Manry:
Pruning of basis functions in nonlinear approximators.
Neurocomputing 34(1-4): 29-53 (2000) |
1999 |
4 | EE | Hung-Han Chen,
Michael T. Manry,
Hema Chandrasekaran:
A neural network training algorithm utilizing multiple sets of linear equations.
Neurocomputing 25(1-3): 55-72 (1999) |
1996 |
3 | EE | Michael T. Manry,
Steven J. Apollo,
Qiang Yu:
Minimum mean square estimation and neural networks.
Neurocomputing 13(1): 59-74 (1996) |
1991 |
2 | EE | Hung-Chun Yau,
Michael T. Manry:
Iterative improvement of a nearest neighbor classifier.
Neural Networks 4(4): 517-524 (1991) |
1990 |
1 | EE | Hung-Chun Yau,
Michael T. Manry:
Iterative improvement of a Gaussian classifier.
Neural Networks 3(4): 437-443 (1990) |