Nikolaos Ampazis

Publication Activity (10 Years)

Years Active: 1998-2015
Publications (10 Years): 0

Top Topics

Regression Methods

Locally Weighted

Feed Forward Neural Networks

Top Venues

Publications

Nikolaos Ampazis, Stavros J. Perantonis, Dimosthenis Drivaliaris
Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks. Cogn. Comput. 7 (1) (2015)
Theopi Eleftheriadou, Nikolaos Ampazis, Vasilios P. Androvitsaneas, Ioannis F. Gonos, Georgios Dounias, Ioannis A. Stathopulos
Ground Resistance Estimation Using Feed-Forward Neural Networks, Linear Regression and Feature Selection Models. SETN (2014)
Nikolaos Ampazis, Nikolaos D. Alexopoulos
Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines. SETN (2010)
S. Lalas, Nikolaos Ampazis, Athanasios Tsakonas, Georgios Dounias, K. Vemmos
Modeling Stroke Diagnosis with the Use of Intelligent Techniques. SETN (2008)
Nikolaos Ampazis, Helen Iakovaki, Georgios Dounias
Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks. ICTAI (2) (2007)
Nikolaos Ampazis, Georgios Dounias, Jan Jantzen
Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms. SETN (2004)
Nikolaos Ampazis, Ioannis Minis
Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps. Comput. Manag. Sci. 1 (3-4) (2004)
Nikolaos Ampazis, Stavros J. Perantonis
LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections. Neural Process. Lett. 19 (2) (2004)
Nikolaos Ampazis, Stavros J. Perantonis
Two highly efficient second-order algorithms for training feedforward networks. IEEE Trans. Neural Networks 13 (5) (2002)
Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
A dynamical model for the analysis and acceleration of learning in feedforward networks. Neural Networks 14 (8) (2001)
Stavros J. Perantonis, Nikolaos Ampazis, Vassilis Virvilis
A Learning Framework for Neural Networks Using Constrained Optimization Methods. Ann. Oper. Res. 99 (1-4) (2000)
Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. IJCNN (1) (2000)
Nikolaos Ampazis, Stavros J. Perantonis
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks. IJCNN (1) (2000)
Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. IJCNN (1999)
Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
Dynamics of multilayer networks in the vicinity of temporary minima. Neural Networks 12 (1) (1999)
Stavros J. Perantonis, Nikolaos Ampazis, Stavros Varoufakis, George Antoniou
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials. Neural Process. Lett. 7 (1) (1998)