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Michael T. Manry
Observed names:
M. Manry,
M. T. MANRY,
M. T. Manry,
M.T. Manry,
MICHAEL T. MANRY,
Manry, Michael,
Michael Manry,
Michael T Manry,
Michael T. Manry
show all 9
Institution:
The University of Texas at Arlington
Observed institutions:
Lockheed Martin (United States),
Motorola (United States),
The University of Texas at Arlington,
United States Army,
Chienkuo Technology University,
The University of Texas at Austin
show all 6
OpenAlex ID:
A5114046112
Comparison of very short-term load forecasting techniques
1996
·
K. Liu
, S. Subbarayan
, et al.
·
IEEE Transactions on Power Systems
·
311
Review article: Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements
1998
·
D. S. Kimes
, R. F. Nelson
, et al.
·
International Journal of Remote Sensing
·
178
Recent Developments in Multilayer Perceptron Neural Networks
2005
·
Walter H. Delashmit
, Michael T. Manry
·
103
Adaptive pattern recognition and neural networks
1991
·
Michael T. Manry
·
Neural Networks
·
78
Neural networks: Algorithms, applications, and programming techniques
1994
·
M.T. Manry
·
Neural Networks
·
76
A neural network training algorithm utilizing multiple sets of linear equations
1999
·
Hung-Han Chen
, Michael T. Manry
, et al.
·
Neurocomputing
·
73
Regression analysis
2022
·
Kanishka Tyagi
, Chinmay Rane
, et al.
·
Elsevier eBooks
·
72
An integrated growing-pruning method for feedforward network training
2007
·
Pramod L. Narasimha
, Walter H. Delashmit
, et al.
·
Neurocomputing
·
67
LMS learning algorithms: misconceptions and new results on converence
2000
·
Zi-Qin Wang
, M.T. Manry
, et al.
·
IEEE Transactions on Neural Networks
·
64
Feature Selection Using a Piecewise Linear Network
2006
·
Jiang Li
, M.T. Manry
, et al.
·
IEEE Transactions on Neural Networks
·
56
Unsupervised learning
2022
·
Kanishka Tyagi
, Chinmay Rane
, et al.
·
Elsevier eBooks
·
55
Surface parameter retrieval using fast learning neural networks
1993
·
M. S. Dawson
, A. K. Fung
, et al.
·
Remote Sensing Reviews
·
53
Conventional modeling of the multilayer perceptron using polynomial basis functions
1993
·
M.-S. Chen
, M.T. Manry
·
IEEE Transactions on Neural Networks
·
53
An efficient hidden layer training method for the multilayer perceptron
2006
·
Changhua Yu
, Michael T. Manry
, et al.
·
Neurocomputing
·
51
Fast training of neural networks for remote sensing
1994
·
M. T. Manry
, M. S. Dawson
, et al.
·
Remote Sensing Reviews
·
49
Second Order Training and Sizing for the Multilayer Perceptron
2019
·
Kanishka Tyagi
, Son Nguyen
, et al.
·
Neural Processing Letters
·
43
A robust statistical-based estimator for soil moisture retrieval from radar measurements
1997
·
M.S. Dawson
, A.K. Fung
, et al.
·
IEEE Transactions on Geoscience and Remote Sensing
·
43
Inversion of Surface Parameters Using Fast Learning Neural Networks
2005
·
M.S. Dawson
, J. Olvera
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
40
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation
2011
·
Xun Cai
, Kanishka Tyagi
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
36
Fuzzy C-means clustering based construction and training for second order RBF network
2011
·
Kanishka Tyagi
, Xun Cai
, et al.
·
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
·
35
Training multilayer perceptron by using optimal input normalization
2011
·
Xun Cai
, Kanishka Tyagi
, et al.
·
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
·
34
Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions
2024
·
Chinmay Rane
, Kanishka Tyagi
, et al.
·
Evolutionary Intelligence
·
31
PDF
Discriminant vector tranformations in neural network classifiers
2016
·
Soumitro Swapan Auddy
, Kanishka Tyagi
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
31
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network
2014
·
Xun Cai
, Kanishka Tyagi
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
31
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm
2014
·
Kanishka Tyagi
, Nojun Kwak
, et al.
·
International Conference on Pattern Recognition Applications and Methods
·
31
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Works count:
175
Citation count:
2,730
H-index:
28
I10-index:
68
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