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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

       IterOR

 

J. Li, M. T. Manry and C. Yu, "Prototype Classifier Design with Pruning", International Journal on Artificial Intelligence Tools, Nov 2004.

       NNCDesign

 

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.

       NonsingPreproc

 

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

        RecentDvptMLP

 

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.

        SignalProcessing.pdf (223 KB)

 

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.

        NeuralTraining.pdf (223 KB)

 

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.

        Power-conf99.pdf (102 KB)

 

Hema Chandrasekaran and Michael T. Manry, "Convergent Design of a Piecewise Linear Neural Network",  Proceedings of IJCNN'99.

        PWL-design.pdf (74 KB)

 

Iyab I. Sakhnini, Michael T. Manry, and Hema Chandrasekarn, "Iterative Improvement of Trigonometric Networks", Proceedings of IJCNN'99.

       Trig-net.pdf (78 KB)

 

Hema Chandrasekaran, Kyung K. Kim, and Michael T. Manry, "Sizing of the Multilayer Perceptron via Modular Networks",  Proceedings of the NNSP'99.

        MLPsizing.pdf (73 KB)

 

Michael T. Manry, Cheng-Hsiung Hsieh, and Hema Chandrasekaran, "Near Optimal Flight load Synthesis Using Neural Nets", Proceedings of the NNSP'99.

        FlightLoad.pdf (222 KB)

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.

 

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. Click here for viewing PDF file

 

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.

        Click here for viewing PDF file

 

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.

        Click here for viewing PDF file

 

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.

        Click here for viewing PDF File

 

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

        Click here for viewing PDF File

 

Walter H. Delashmit, M. T. Manry, "Enhanced Robustness of Multilayer Perception Training", the 36th Asilomar Conference on Signals, Systems, & Computers '02, pp. 1029 - 1033

        Click here for viewing PDF File

 

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

        Click here for viewing PDF File

 

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," Internat. Journ. of Intelligent Control and Syst., vol. 1, no. 3,1996, pp. 381-391.

        Click here for viewing PDF File

 

Michael T. Manry, Steven J. Apollo, and Qiang Yu, "Minimum Mean Square Estimation and Neural Networks," Neurocomputing, vol. 13, September 1996, pp. 59-74.

        Click here for viewing PDF file

 

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.

        Click here for viewing Postscript File

 

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

        Click here for viewing the PDF File

 

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.

         Click here for viewing PDF File

 

K. Rohani and M. T. Manry," The Design of Multi-Layer Perceptrons using Building Blocks," Proc of IJCNN 91, Seattle WA., pp. II-497 to II-502.

        Click here for viewing PDF File

 

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.

        Click here for viewing PDF File

 

H. C. Yau and M. T. Manry, "Iterative Improvement of a Nearest Neighbor Classifier," Neural Networks, Vol. 4, Number 4, pp.517-524,1991.

        Click here for viewing PDF File

 

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.

        Click here for viewing PDF File

Iyab I. Sakhnini, M.S. thesis, The University of Texas at Arlington, August 1998 "Design and Analysis of Trigonometric Networks "

 

A. Gopalakrishnan, M.S. Thesis, The University of Texas at Arlington, 1994,"Efficient Non-linear Mapping Using The Multi-Layer Perceptron".

        Click here for  viewing PDF file

 

Mu-Song,Chen, Ph.D. Dissertation, The University of Texas at Arlington, December, 1991, Analyses and Design of Multi-Layer Perceptron Using Polynomial Basis Functions.

        Click here for viewing PDF file

 

Kamyar Rohani, Ph.D. Dissertation, The University of Texas at Arlington, August 1991, "A Building Block Approach for Analysis and Design of Non-linear Neural Network Filters". Click here for zipped file

 

Steven John Apollo, Ph.D. Dissertation, The University of Texas at Arlington, December 1991, "Maximum Likelihood Estimation Of Exponentials Contained In Signal-Dependent Noise".

        Click here for viewing PDF file

 

Paul David Stanley, M.S. Thesis, The University of Texas at Arlington, August, 1992, "Pattern Classification For The Electronic Counter-Measure Instrumentation Receiver"

        Click here for viewing PDF file (zipped)

 

Jesse Olvera, M.S. thesis, The University of Texas at Arlington, 1992, "Monomial Activation Functions For The Multi-Layer Perceptron "

        Click here for  viewing PDF file

 

H. C. Yau, Ph. D. Dissertation, The University of Texas at Arlington, December 1990, "Transform-based Shape Recognition Using Neural Networks". Click here for viewing PDF file

 

Jaiganesh Vaidyalingam, M.S. thesis, The University of Texas at Arlington, April 2003, "Cubic Model of a Multilayer Perceptron". Click here for viewing the PDF file (zipped)