Martin T. Hagan

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 5

Top Topics

Perceptual Image Quality

Top Venues

Comput. Intell. Neurosci.

Human Vision and Electronic Imaging

Publications

Joseph Kelley, Martin T. Hagan
Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data. Expert Syst. Appl. 237 (Part A) (2024)
Daniel M. Hagan, Martin T. Hagan
Soft Computing Tools for Virtual Drug Discovery. J. Artif. Intell. Soft Comput. Res. 8 (3) (2018)
Amir H. Jafari, Martin T. Hagan
Application of new training methods for neural model reference control. Eng. Appl. Artif. Intell. 74 (2018)
Marco A. Moreno-Armendáriz, Martin T. Hagan, Enrique Alba, José de Jesús Rubio, Carlos Alberto Cruz Villar, Guillermo Leguizamón
Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications. Comput. Intell. Neurosci. 2016 (2016)
Daniel M. Hagan, Martin T. Hagan
Virtual drug screening using neural networks. IJCNN (2016)
Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler
Relations between local and global perceptual image quality and visual masking. Human Vision and Electronic Imaging (2015)
Amir H. Jafari, Martin T. Hagan
Enhanced recurrent network training. IJCNN (2015)
Md Mushfiqul Alam, Pranita Patil, Martin T. Hagan, Damon M. Chandler
A computational model for predicting local distortion visibility via convolutional neural network trainedon natural scenes. ICIP (2015)
Manh Cong Phan, Martin T. Hagan
Error Surface of Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 24 (11) (2013)
Manh Cong Phan, Mark H. Beale, Martin T. Hagan
A procedure for training recurrent networks. IJCNN (2013)
Carl Latino, Marco A. Moreno-Armendáriz, Martin T. Hagan
Realizing general MLP networks with minimal FPGA resources. IJCNN (2009)
Jason Horn, Orlando De Jesus, Martin T. Hagan
Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance. IEEE Trans. Neural Networks 20 (4) (2009)
Orlando De Jesus, Martin T. Hagan
Backpropagation Through Time for General Dynamic Networks. IC-AI (2008)
Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan
Comparison of Stochastic Global Optimization Methods to Estimate Neural Network Weights. Neural Process. Lett. 26 (3) (2007)
Orlando De Jesus, Martin T. Hagan
Backpropagation Algorithms for a Broad Class of Dynamic Networks. IEEE Trans. Neural Networks 18 (1) (2007)
Manabu Torii, Martin T. Hagan
Stability of steepest descent with momentum for quadratic functions. IEEE Trans. Neural Networks 13 (3) (2002)
Lonnie Hamm, B. Wade Brorsen, Martin T. Hagan
Neural Networks: Are Stochastic Global Optimization Methods Worth the Trouble? ICMLA (2002)
Farzam Farbiz, Mohammad Bagher Menhaj, Seyed Ahmad Motamedi, Martin T. Hagan
A new fuzzy logic filter for image enhancement. IEEE Trans. Syst. Man Cybern. Part B 30 (1) (2000)
Roger L. Schultz, Martin T. Hagan
Online least-squares training for the underdetermined case. IJCNN (1999)
Roger L. Schultz, Martin T. Hagan, Orlando De Jesus
Training multi-loop networks. IJCNN (1999)
Dingding Chen, Martin T. Hagan
Optimal use of regularization and cross-validation in neural network modeling. IJCNN (1999)
Meng H. Fun, Martin T. Hagan
Recursive orthogonal least squares learning with automatic weight selection for Gaussian neural networks. IJCNN (1999)
Christopher J. James, Martin T. Hagan, Richard D. Jones, Philip J. Bones, Grant J. Carroll
Multireference adaptive noise canceling applied to the EEG. IEEE Trans. Biomed. Eng. 44 (8) (1997)
F. Dan Foresee, Martin T. Hagan
Gauss-Newton approximation to Bayesian learning. ICNN (1997)
Meng-Hock Fun, Martin T. Hagan
Levenberg-Marquardt training for modular networks. ICNN (1996)
Mohammad B. Menhaj, Martin T. Hagan
Analysis of Delays in Networked Flight Simulators. IEEE Trans. Syst. Man Cybern. Syst. 24 (6) (1994)
Yongqing Zhang, Martin T. Hagan
A reduced parameter bilinear time series model. IEEE Trans. Signal Process. 42 (7) (1994)
Martin T. Hagan, Mohammad B. Menhaj
Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Networks 5 (6) (1994)
Nidal M. Sammur, Martin T. Hagan
Mapping Signal Processing Algorithms on Parallel Architectures. J. Parallel Distributed Comput. 8 (2) (1990)
Paul Hartono Singgih, Howard B. Demuth, Martin T. Hagan, Roger L. Wainwright
Parallel merge-sort algorithms on the HEP. ACM Conference on Computer Science (1986)
Martin T. Hagan, Howard B. Demuth, Paul Hartono Singgih
Parallel Signal Processing Research on the HEP. ICPP (1985)