Martin T. Hagan

According to our database, Martin T. Hagan authored at least 31 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data.

Joseph Kelley, Martin T. Hagan

Expert Syst. Appl., March, 2024

2018

Soft Computing Tools for Virtual Drug Discovery.

Daniel M. Hagan, Martin T. Hagan

J. Artif. Intell. Soft Comput. Res., 2018

Application of new training methods for neural model reference control.

Amir H. Jafari, Martin T. Hagan

Eng. Appl. Artif. Intell., 2018

2016

Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications.

Marco A. Moreno-Armendáriz, Martin T. Hagan, Enrique Alba, José de Jesús Rubio, Carlos Alberto Cruz Villar, Guillermo Leguizamón

Comput. Intell. Neurosci., 2016

Virtual drug screening using neural networks.

Daniel M. Hagan, Martin T. Hagan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Enhanced recurrent network training.

Amir H. Jafari, Martin T. Hagan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A computational model for predicting local distortion visibility via convolutional neural network trainedon natural scenes.

Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Relations between local and global perceptual image quality and visual masking.

Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler

Proceedings of the Human Vision and Electronic Imaging XX, 2015

2013

Error Surface of Recurrent Neural Networks.

Manh Cong Phan, Martin T. Hagan

IEEE Trans. Neural Networks Learn. Syst., 2013

A procedure for training recurrent networks.

Manh Cong Phan, Mark H. Beale, Martin T. Hagan

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2009

Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance.

Jason Horn, Orlando De Jesus, Martin T. Hagan

IEEE Trans. Neural Networks, 2009

Realizing general MLP networks with minimal FPGA resources.

Carl Latino, Marco A. Moreno-Armendáriz, Martin T. Hagan

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Backpropagation Through Time for General Dynamic Networks.

Orlando De Jesus, Martin T. Hagan

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007

Backpropagation Algorithms for a Broad Class of Dynamic Networks.

Orlando De Jesus, Martin T. Hagan

IEEE Trans. Neural Networks, 2007

Comparison of Stochastic Global Optimization Methods to Estimate Neural Network Weights.

Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan

Neural Process. Lett., 2007

2002

Stability of steepest descent with momentum for quadratic functions.

Manabu Torii, Martin T. Hagan

IEEE Trans. Neural Networks, 2002

Neural Networks: Are Stochastic Global Optimization Methods Worth the Trouble?

Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

2000

A new fuzzy logic filter for image enhancement.

Farzam Farbiz, Mohammad Bagher Menhaj, Seyed Ahmad Motamedi, Martin T. Hagan

IEEE Trans. Syst. Man Cybern. Part B, 2000

1999

Training multi-loop networks.

Roger L. Schultz, Martin T. Hagan, Orlando De Jesus

Proceedings of the International Joint Conference Neural Networks, 1999

Online least-squares training for the underdetermined case.

Roger L. Schultz, Martin T. Hagan

Proceedings of the International Joint Conference Neural Networks, 1999

Recursive orthogonal least squares learning with automatic weight selection for Gaussian neural networks.

Meng H. Fun, Martin T. Hagan

Proceedings of the International Joint Conference Neural Networks, 1999

Optimal use of regularization and cross-validation in neural network modeling.

Dingding Chen, Martin T. Hagan

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Multireference adaptive noise canceling applied to the EEG.

Christopher J. James, Martin T. Hagan, Richard D. Jones, Philip J. Bones, Grant J. Carroll

IEEE Trans. Biomed. Eng., 1997

Gauss-Newton approximation to Bayesian learning.

F. Dan Foresee, Martin T. Hagan

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Levenberg-Marquardt training for modular networks.

Meng-Hock Fun, Martin T. Hagan

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

A reduced parameter bilinear time series model.

Yongqing Zhang, Martin T. Hagan

IEEE Trans. Signal Process., 1994

Analysis of Delays in Networked Flight Simulators.

Mohammad B. Menhaj, Martin T. Hagan

IEEE Trans. Syst. Man Cybern. Syst., 1994

Training feedforward networks with the Marquardt algorithm.

Martin T. Hagan, Mohammad B. Menhaj

IEEE Trans. Neural Networks, 1994

1990

Mapping Signal Processing Algorithms on Parallel Architectures.

Nidal M. Sammur, Martin T. Hagan

J. Parallel Distributed Comput., 1990

1986

Parallel merge-sort algorithms on the HEP.

Paul Hartono Singgih, Howard B. Demuth, Martin T. Hagan, Roger L. Wainwright

Proceedings of the 14th ACM Annual Conference on Computer Science, 1986

1985

Parallel Signal Processing Research on the HEP.

Martin T. Hagan, Howard B. Demuth, Paul Hartono Singgih

Proceedings of the International Conference on Parallel Processing, 1985