Improved sign-based learning algorithm derived by the composite nonlinear Jacobi process

Author:

Anastasiadis Aristoklis D.,Magoulas George D.,Vrahatis Michael N.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference36 articles.

1. A.D. Anastasiadis, G.D. Magoulas, X. Liu, Classification of protein localisation patterns via supervised neural network learning, in: Proceedings of the Fifth Symposium on Intelligent Data Analysis (IDA-03), Berlin, Germany, August 2003, Lecture Notes in Computer Science, vol. 2810, Springer, Berlin, 2003, pp. 430–439.

2. A.D. Anastasiadis, G.D. Magoulas, M.N. Vrahatis, An efficient improvement of the Rprop algorithm, in: Proceedings of the First International Workshop on Artificial Neural Networks in Pattern Recognition (IAPR 2003), University of Florence, Italy, 2003, pp.197–201.

3. Sign-based learning schemes for pattern classification;Anastasiadis;Pattern Recognition Lett.,2005

4. First-and second-order methods for learning: between steepest descent and Newton's method;Battiti;Neural Computation,1992

5. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford, 1995.

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