Martin T. Hagan

33 papers B 10C 1Misc 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Multistep Prediction With Sequence-to-Sequence (Seq2Seq) Models.
IEEE Trans. Neural Networks Learn. Syst.
Joseph Kelley, Martin T. Hagan
2024 J jnl
Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data.
Expert Syst. Appl.
Joseph Kelley, Martin T. Hagan
2018 J jnl
Application of new training methods for neural model reference control.
Eng. Appl. Artif. Intell.
Amir H. Jafari, Martin T. Hagan
2018 J jnl
Soft Computing Tools for Virtual Drug Discovery.
J. Artif. Intell. Soft Comput. Res.
Daniel M. Hagan, Martin T. Hagan
2016 J jnl
Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications.
Comput. Intell. Neurosci.
Marco A. Moreno-Armendáriz, Martin T. Hagan, Enrique Alba, José de Jesús Rubio, Carlos Alberto Cruz Villar, Guillermo Leguizamón
2016 B conf
Virtual drug screening using neural networks.
IJCNN
Daniel M. Hagan, Martin T. Hagan
2015 B conf
A computational model for predicting local distortion visibility via convolutional neural network trainedon natural scenes.
ICIP
Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler
2015 B conf
Enhanced recurrent network training.
IJCNN
Amir H. Jafari, Martin T. Hagan
2015 — conf
Relations between local and global perceptual image quality and visual masking.
Human Vision and Electronic Imaging
Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler
2013 B conf
A procedure for training recurrent networks.
IJCNN
Manh Cong Phan, Mark H. Beale, Martin T. Hagan
2013 J jnl
Error Surface of Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Manh Cong Phan, Martin T. Hagan
2009 B conf
Realizing general MLP networks with minimal FPGA resources.
IJCNN
Carl Latino, Marco A. Moreno-Armendáriz, Martin T. Hagan
2009 J jnl
Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance.
IEEE Trans. Neural Networks
Jason Horn, Orlando De Jesús, Martin T. Hagan
2008 Misc conf
Backpropagation Through Time for General Dynamic Networks.
IC-AI
Orlando De Jesús, Martin T. Hagan
2007 J jnl
A General Framework for Dynamic Networks.
Res. Comput. Sci.
Martin T. Hagan, Orlando De Jesús
2007 J jnl
Backpropagation Algorithms for a Broad Class of Dynamic Networks.
IEEE Trans. Neural Networks
Orlando De Jesús, Martin T. Hagan
2007 J jnl
Comparison of Stochastic Global Optimization Methods to Estimate Neural Network Weights.
Neural Process. Lett.
Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan
2002 C conf
Neural Networks: Are Stochastic Global Optimization Methods Worth the Trouble?
ICMLA
Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan
2002 J jnl
Stability of steepest descent with momentum for quadratic functions.
IEEE Trans. Neural Networks
Manabu Torii, Martin T. Hagan
2000 J jnl
A new fuzzy logic filter for image enhancement.
IEEE Trans. Syst. Man Cybern. Part B
Farzam Farbiz, Mohammad Bagher Menhaj, Seyed Ahmad Motamedi, Martin T. Hagan
1999 B conf
Online least-squares training for the underdetermined case.
IJCNN
Roger L. Schultz, Martin T. Hagan
1999 B conf
Optimal use of regularization and cross-validation in neural network modeling.
IJCNN
Dingding Chen, Martin T. Hagan
1999 B conf
Recursive orthogonal least squares learning with automatic weight selection for Gaussian neural networks.
IJCNN
Meng H. Fun, Martin T. Hagan
1999 B conf
Training multi-loop networks.
IJCNN
Roger L. Schultz, Martin T. Hagan, Orlando De Jesús
1997 — conf
Gauss-Newton approximation to Bayesian learning.
ICNN
F. Dan Foresee, Martin T. Hagan
1997 J jnl
Multireference adaptive noise canceling applied to the EEG.
IEEE Trans. Biomed. Eng.
Christopher J. James, Martin T. Hagan, Richard D. Jones, Philip J. Bones, Grant J. Carroll
1996 — conf
Levenberg-Marquardt training for modular networks.
ICNN
Meng-Hock Fun, Martin T. Hagan
1994 J jnl
A reduced parameter bilinear time series model.
IEEE Trans. Signal Process.
Yongqing Zhang, Martin T. Hagan
1994 J jnl
Analysis of Delays in Networked Flight Simulators.
IEEE Trans. Syst. Man Cybern. Syst.
Mohammad B. Menhaj, Martin T. Hagan
1994 J jnl
Training feedforward networks with the Marquardt algorithm.
IEEE Trans. Neural Networks
Martin T. Hagan, Mohammad B. Menhaj
1990 J jnl
Mapping Signal Processing Algorithms on Parallel Architectures.
J. Parallel Distributed Comput.
Nidal M. Sammur, Martin T. Hagan
1986 — conf
Parallel merge-sort algorithms on the HEP.
ACM Conference on Computer Science
Paul Hartono Singgih, Howard B. Demuth, Martin T. Hagan, Roger L. Wainwright
1985 B conf
Parallel Signal Processing Research on the HEP.
ICPP
Martin T. Hagan, Howard B. Demuth, Paul Hartono Singgih