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Ioannis E. Livieris

Ioannis E. Livieris received his B.Sc., M.Sc. and Ph.D. degrees in Mathematics from the University of Patras, Greece in 2006, 2008 and 2012 respectively. His research interests include numerical optimization, neural networks and its application in bioinformatics. He is a member of the ESDLab since 2008. See his personal web page.

 

 

Degrees

  • 2012: Ph.D. from Department of Mathematics, University of Patras.
  • 2008: M.Sc. in "Computational Mathematics & Informatics", Department of Mathematics, University of Patras, Greece.
  • 2006: Bachelor Degree in Mathematics (speciality in Computational Mathematics & Informatics), Department of Mathematics, University of Patras, Greece.

 

Dissertations

  • Ph.D. Thesis: Nonlinear Conjugate Gradient Methods for Optimization and Neural Network Training. Supervisor: Professor P. Pintelas.
  • M.Sc. Thesis: Performance Evaluation of Algorithms for Neural Network Training and Applications. Supevisor: Professor P. Pintelas.
  • B.Sc. Thesis: Constraint Propagation Problems. Bachelor Thesis Supevisor: Associate Professor T.N. Grapsa.

   

Courses

E-mail :      This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Phone :      2610 997833

Fax :          2610 997313




A memoryless BFGS Neural network training algorithm PDF Print E-mail

M.S. Apostolopoulou, D.G. Sotiropoulos, I.E. Livieris and P. Pintelas, A Memoryless BFGS Neural Network Training Algorithm, In Proceedings of 6th IEEE International Conference on Industrial Informatics (INDIN 2009), p.p. 216-221, 2009.

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A greedy approach to transversal selection for nonlinear systems of equations PDF Print E-mail

D.G. Sotiropoulos and I.E. Livieris A Greedy Approach to Transversal Selection for Nonlinear Systems of Equations, In Proceedings of Conference in Numerical Analysis (NumAn07), pp 134-136, Kalamata, September, 2007.

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Performance evaluation of descent CG methods for neural network training PDF Print E-mail

I.E. Livieris and P. Pintelas, Performance Evaluation of Descent CG Methods for Neural Network Training, In Proceedings of The 9th Hellenic European Research on Computer Mathematics & Conference its Applications (HERCMA 2009), vol 11, pp. 40-46, Athens, 2009.

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A descent Dai-Liao conjugate gradient method based on a modified secant equation and its global convergence PDF Print E-mail

I.E. Livieris and P. Pintelas, A Descent Dai-Liao Conjugate Gradient Method Based on a Modified Secant Equation and Its Global Convergence, ISRN Computational Mathematics, 2012.

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An improved spectral conjugate gradient neural network training algorithm PDF Print E-mail

I.E. Livieris and P. Pintelas, An Improved Spectral Conjugate Gradient Neural Network Training Algorithm, International Journal on Artificial Intelligence and Tools, 20(1), 2012.

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