2011 |
Praveen Jesudhas, Michael T. Manry, Rohit Rawat, and Sanjeev Malalur
Analysis and Improvement of Multiple Optimal Learning Factors for Feed-Forward Networks
Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011
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2011 |
Babu Hemanth Kumar Aswathappa, M. T. Manry, and Rohit Rawat
Optimal Output Gain Algorithm for Feed-Forward Network Training
Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011
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2011 |
Xun Cai, Kanishka Tyagi and Michael T. Manry
An Optimal Construction and Training of Second Order RBF Network for Approximation and Illumination invariant Image Segmentation
Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011
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2011 |
Xun Cai, Kanishka Tyagi, and Michael T. Manry
Training Multilayer Perceptron By Using Optimal
Input Normalization
2011 IEEE International Conference on Fuzzy Systems, June 2011, Taipei, Taiwan
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2011 |
Kanishka Tyagi, Xun Cai, and Michael T. Manry
Fuzzy C-Means Clustering Based Construction And Training For Second Order RBF Network
2011 IEEE International Conference on Fuzzy Systems, June 2011, Taipei, Taiwan
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2010
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S. S. Malalur and M. T. Manry, |
Multiple optimal learning factors for feed-forward networks, |
Proc. of SPIE: Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Orlando Florida, vol. 7703, pp. 77030F-1 – 77030F-12, April 7-9, 2010.
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2009
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S. S. Malalur and M. T. Manry, |
Feedforward Network Training Using Optimal Input Gains, |
Proc. of IJCNN’09, Atlanta, Georgia, pp. 1953-1960, June 14-19, 2009.
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2009
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M.A. Al-Abed, M. Manry, J.R. Burk, E.A. Lucas, K. Behbehani, |
Sleep disordered breathing detection using heart rate variability and R-peak envelope spectrogram, |
Engineering in Medicine and Biology Society, 2009, Minneapolis, MN, pp. 7106 – 7109, Sept 2009.
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2008
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P.L. Narasimha, S. Malalur, and M.T. Manry, |
Small Models of Large Machines, |
Proceedings of the TwentyFirst International Conference of the Florida AI Research Society, pp.83-88, May 2008.
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2008
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Pramod L. Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco Maldonado, |
An integrated growing-pruning method for feedforward network training |
Neurocomputing vol. 71, pp. 2831–2847, 2008.
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2008
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Pramod L. Narasimha, Michael T. Manry, Francisco Maldonado, |
Upper bound on pattern storage in feedforward networks, |
Neurocomputing (Letters) vol. 71, pp. 3612– 3616, 2008.
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2007
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Walter Delashmit, Michael Manry, |
A Neural Network Growing Algorithm that Ensures Monotonically Non Increasing Error, |
Dynamics of Continuous, Discrete & Impulsive Systems (DCDIS) A Supplement,Advances in Neural Networks, Vol. 14(S1) 280–284.
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2007
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Pramod L. Narasimha, Michael T. Manry and Francisco Maldonado, |
Upper Bound on Pattern Storage in Feedforward Networks, |
Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.
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2007
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Abdul A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur and Robert G. Gore, A Piecewise Linear Network Classifier,Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.
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2007
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Saurabh Sureka, Michael Manry, A Functional Link Network With Ordered Basis Functions, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.
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2006
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Pramod L. Narasimha, Walter Delashmit, Michael Manry, Jiang Li and Francisco Maldonado, Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks, The 19th International FLAIRS Conference, 2006.
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2006
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Hema Chandrasekaran, Jiang Li, W.H. Delashmit, P.L. Narasimha, Changhua Yu, Michael T. Manry, Convergent design of piecewise linear neural networks, Neurocomputing, vol. 70, pp. 1022–1039, 2007.
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2006
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Jiang Li, Michael T. Manry, Pramod L. Narasimha, and Changhua Yu, “Feature Selection Using a Piecewise Linear Network”, IEEE Transactions on Neural Network, vol. 17, no. 5, September 2006, pp. 1101 – 1115.
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2004
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R. G. Gore, J. Li, M. T. Manry, L. M. Liu, C. Yu and J. Wei, “Iterative Design of Neural Network Classifiers Through Regression”, International Journal on Artificial Intelligence Tools, Vol 14, Issues 1&2, 2005.Â
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2004
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J. Li, M. T. Manry and C. Yu, “Prototype Classifier Design with Pruning”, International Journal on Artificial Intelligence Tools, Nov 2004.
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2005
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C. Yu, M. T. Manry and J. Li, “Effects of Nonsingular Preprocessing on Feed Forward Network Training”, International Journal of Pattern Recognition and Artificial Intelligence, Feb 2005.
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2005
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W. H. Delashmit and M. T. Manry, “Recent Developments in Multilayer Perceptron Neural Networks”, Proceedings of the 7th annual Memphis Area Engineering and Science Conference (MAESC), 2005.
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2001
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M. T. Manry, Hema Chandrasekaran and Cheng-Hsiung Hsieh “Signal Processing Using the Multilayer Perception “, Handbook of Neural Network Signal Processing, CRC PRESS, , pp. 2.1 – 2.29, 2001.
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1999
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H. H. Chen, M. T. Manry, and Hema Chandrasekaran, “A Neural Network Training Algorithm Utilizing Multiple Sets of Linear Equations”, Neurocomputing, Vol. 25, No. 1-3, pp. 55-72, April 1999.
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1999
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C.Subramanian, M. T. Manry, and J. Naccarino, “Reservoir Inflow Forecasting Using Neural Networks” Proceedings of the American Power Conference, Volume 61, Number 1, pp. 220-226, 1999.
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1999
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Hema Chandrasekaran and Michael T. Manry, “Convergent Design of a Piecewise Linear Neural Network”, Proceedings of IJCNN’99.
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1999
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Iyab I. Sakhnini, Michael T. Manry, and Hema Chandrasekarn, “Iterative Improvement of Trigonometric Networks”, Proceedings of IJCNN’99.
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1999
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Hema Chandrasekaran, Kyung K. Kim, and Michael T. Manry, “Sizing of the Multilayer Perceptron via Modular Networks”, Proceedings of the NNSP’99.
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1999
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Michael T. Manry, Cheng-Hsiung Hsieh, and Hema Chandrasekaran, “Near Optimal Flight load Synthesis Using Neural Nets”, Proceedings of the NNSP’99.
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2003
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W. H. Delashmit, M. T. Manry, “New Training Algorithms for Dependently Initialized Multilayer Perceptrons,” Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Nov 2003, vol. 1, pp. 581-585.
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2003
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Li Jiang, Li Dongdong, J. A. Khoja, Qilian Liang, M. T. Manry, V. K. Prabhu, “Overcoming co-channel interference in TDMA systems using SOM equalizer”, Proceedings of the Radio and Wireless Conference, RAWCON ’03, Aug. 2003, pp. 123 – 126.
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2003
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F. J. Maldonado, M. T. Manry, Tae-Hoon Kim, “Finding optimal neural network basis function subsets using the Schmidt procedure”, Proceedings of the International Joint Conference on Neural Networks, July 2003, vol. 1, pp. 444 – 449.
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2003
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Tae Kim, M. T. Manry, J. Maldonado, “New learning factor and testing methods for conjugate gradient training algorithm”, Proceedings of the International Joint Conference on Neural Networks, July 2003, vol. 3, pp. 2011 – 2016.
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2003
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Tae-Hoon Kim, Jiang Li, M.T. Manry, “Evaluation and Improvement of Two Training Algorithms”, The 36th Asilomar Conference on Signals, Systems, & Computers ’02, pp. 1019 – 1023.
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2002
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F. J. Maldonado, M. T. Manry, “Optimal Pruning of Feed-forward Neural Networks Based upon the Schmidt Procedure”, The 36th Asilomar Conference on Signals, Systems, & Computers ’02, pp. 1024 – 1028.
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2003
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Walter H. Delashmit, M. T. Manry, “Enhanced Robustness of Multilayer Perception Training”, the 36th Asilomar Conference on Signals, Systems, & Computers ’02, pp. 1029 – 1033.
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2002
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Changhua Yu, M. T. Manry,” A Modified Hidden Weight Optimization Algorithm for Feed-forward Neural Networks,” the 36th Asilomar Conference on Signals, Systems, & Computers ’02, pp. 1034 – 1038.
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1996
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M.T. Manry, Cheng-Hsiung Hsieh, M.S. Dawson, A.K. Fung and S.J.Apollo, “Cramer Rao Maximum A-Posteriori Bounds on Neural Network Training Error for Non-Gaussian Signals and Parameters” International Journal of Intelligent Control and Syst., vol. 1, no. 3,1996, pp. 381-391.
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1996
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Michael T. Manry, Steven J. Apollo, and Qiang Yu, “Minimum Mean Square Estimation and Neural Networks”, Neurocomputing, vol. 13, September 1996, pp. 59-74.
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1994
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M. T. Manry, S. J. Apollo, L. S. Allen, W. D. Lyle, W. Gong, M.S. Dawson, and A. K. Fung, “Fast Training of Neural Networks for Remote Sensing”, Remote Sensing Reviews, vol. 9, pp. 77-96, 1994.
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Wei Gong, Hung-Chun Yau and M. T. Manry, “Non-Gaussian Feature Analyses using a Neural Network”, Progress in Neural Networks, Volume 2, Ablex Publishing Corporation, Norwood, New Jersey.
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1993
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A. Gopalakrishnan, X. Jiang, M-S Chen, and M.T. Manry, “Constructive Proof of Efficient Pattern storage in the Multilayer Perceptron”, Conference Record of the Twenty-Seventh Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1993, vol. 1, pp. 386-390.
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1994
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K. Rohani and M. T. Manry, “The Design of Multi-Layer Perceptrons using Building Blocks”, Proceedings of IJCNN 91, Seattle WA, pp. II-497 to II-502. Xianping Jiang, Mu-Song Chen, Michael T. Manry, Michael S. Dawson, Adrian K. Fung, “Analysis and Optimization of Neural Networks for Remote Sensing”, Remote Sensing Reviews, vol. 9, pp. 97-114, 1994.
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1991
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H. C. Yau and M. T. Manry, “Iterative Improvement of a Nearest Neighbor Classifier”, Neural Networks, Vol. 4, Number 4, pp.517-524,1991.
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1991
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Hung-Chun Yau and Michael T. Manry, “Shape Recognition With Nearest Neighbor Isomorphic Network”, Proc. of the 1st IEEE-SP workshop on Neural Networks for Signal Processing, Princeton, New Jersey, Sept.29- Oct.2, 1991, pp.246-255. |