 | 2011 |
| 34 |  | Kanishka Tyagi,
Xun Cai,
Michael T. Manry:
Fuzzy C-means clustering based construction and training for second order RBF network.
FUZZ-IEEE 2011: 248-255 |
| 33 |  | Xun Cai,
Kanishka Tyagi,
Michael T. Manry:
Training multilayer perceptron by using optimal input normalization.
FUZZ-IEEE 2011: 2771-2778 |
| 32 |  | Praveen Jesudhas,
Michael T. Manry,
Rohit Rawat,
Sanjeev S. Malalur:
Analysis and improvement of multiple optimal learning factors for feed-forward networks.
IJCNN 2011: 2593-2600 |
| 31 |  | Babu Hemanth Kumar Aswathappa,
Michael T. Manry,
Rohit Rawat:
Optimal output gain algorithm for feed-forward network training.
IJCNN 2011: 2609-2616 |
| 30 |  | Xun Cai,
Kanishka Tyagi,
Michael T. Manry:
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation.
IJCNN 2011: 3120-3126 |
| 2009 |
| 29 |  | Sanjeev S. Malalur,
Michael T. Manry:
Feed-forward network training using optimal input gains.
IJCNN 2009: 1953-1960 |
| 2008 |
| 28 |  | Pramod Lakshmi Narasimha,
Sanjeev S. Malalur,
Michael T. Manry:
Small Models of Large Machines.
FLAIRS Conference 2008: 83-88 |
| 2007 |
| 27 |  | Saurabh Sureka,
Michael T. Manry:
A Functional Link Network With Ordered Basis Functions.
IJCNN 2007: 1708-1713 |
| 26 |  | Pramod Lakshmi Narasimha,
Michael T. Manry,
Francisco Maldonado:
Upper Bound on Pattern Storage in Feedforward Networks.
IJCNN 2007: 1714-1719 |
| 25 |  | A. A. Abdurrab,
Michael T. Manry,
Jiang Li,
Sanjeev S. Malalur,
R. G. Gore:
A Piecewise Linear Network Classifier.
IJCNN 2007: 1750-1755 |
| 24 |  | 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 |
| 23 |  | 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 |
| 22 |  | 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) |
| 21 |  | 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 |
| 20 |  | Changhua Yu,
Michael T. Manry,
Pramod Lakshmi Narasimha:
Sensitivity of Nonlinear Network Training to Affine Transformed Inputs.
FLAIRS Conference 2005: 591-597 |
| 19 |  | Pramod Lakshmi Narasimha,
Michael T. Manry,
Changhua Yu:
Nonlinear Network Time-Series Forecasting Using Redundancy Reduction.
FLAIRS Conference 2005: 834-835 |
| 18 |  | Changhua Yu,
Michael T. Manry,
Jiang Li:
Effects Of Nonsingular Preprocessing On Feedforward Network Training.
IJPRAI 19(2): 217-247 (2005) |
| 17 |  | 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) |
| 16 |  | 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 |
| 15 |  | Changhua Yu,
Michael T. Manry,
Jiang Li:
Hidden Layer Training via Hessian Matrix Information.
FLAIRS Conference 2004 |
| 14 |  | Changhua Yu,
Michael T. Manry,
Jiang Li:
Invariance of MLP Training to Input Feature De-correlation.
FLAIRS Conference 2004 |
| 13 |  | Jiang Li,
Michael T. Manry,
Li-min Liu,
Changhua Yu,
John Wei:
Iterative Improvement of Neural Classifiers.
FLAIRS Conference 2004 |
| 12 |  | Jiang Li,
Michael T. Manry,
Changhua Yu:
Prototype Based Classifier Design with Pruning.
FLAIRS Conference 2004 |
| 11 |  | Jiang Li,
Qilian Liang,
Michael T. Manry:
Co-channel interference suppression with model simplification in TDMA systems.
PIMRC 2004: 1302-1306 |
| 2003 |
| 10 |  | 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 |
| 9 |  | Zi-Qin Wang,
Michael T. Manry,
Jeffrey L. Schiano:
LMS learning algorithms: misconceptions and new results on converence.
IEEE Trans. Neural Netw. Learning Syst. 11(1): 47-56 (2000) |
| 8 |  | Hema Chandrasekaran,
Hung-Han Chen,
Michael T. Manry:
Pruning of basis functions in nonlinear approximators.
Neurocomputing 34(1-4): 29-53 (2000) |
| 1999 |
| 7 |  | 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 |
| 6 |  | Michael T. Manry,
Steven J. Apollo,
Qiang Yu:
Minimum mean square estimation and neural networks.
Neurocomputing 13(1): 59-74 (1996) |
| 1992 |
| 5 |  | Lars A. Anderson,
Hung-Chun Yau,
Michael T. Manry:
Recursive approximation of the energy spectral density.
IEEE Transactions on Signal Processing 40(12): 3059-3062 (1992) |
| 4 |  | Hung-Chun Yau,
Michael T. Manry:
Automatic determination of reject thresholds in classifiers employing discriminant functions.
IEEE Transactions on Signal Processing 40(3): 711-713 (1992) |
| 3 |  | Wei Gong,
K. R. Rao,
Michael T. Manry:
Progressive image transmission using a self-supervised back-propagation neural network.
J. Electronic Imaging 1(1): 88-94 (1992) |
| 1991 |
| 2 |  | Hung-Chun Yau,
Michael T. Manry:
Iterative improvement of a nearest neighbor classifier.
Neural Networks 4(4): 517-524 (1991) |
| 1990 |
| 1 |  | Hung-Chun Yau,
Michael T. Manry:
Iterative improvement of a Gaussian classifier.
Neural Networks 3(4): 437-443 (1990) |