First and Second-Order Methods for Learning: between Steepest Descent and Newton's Method (1992)

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by Roberto Battiti
Venue:Neural Computation
Citations:108 - 6 self

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93 Efficient Back Prop – Yann Le Cun, Yann Le, Average Error - 1996
9 Efficient Training of Feed-Forward Neural Networks – Martin Møller - 1997
3 Deterministic Nonmonotone Strategies for Effective Training of Multilayer Perceptrons – Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
Parameter Optimization Algorithm with Improved Convergence Properties for Adaptive Learning – G. D. Magoulas, M. N. Vrahatis
Nonmonotone Methods for Backpropagation Training with Adaptive Learning Rate – V.P. Plagianako, M.N. Vrahatis - 1999
19 Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods – G. D. Magoulas, M. N. Vrahatis, G. S. Androulakis - 1999
ADAPTIVE ALGORITHMS FOR NEURAL NETWORK SUPERVISED LEARNING: A DETERMINISTIC OPTIMIZATION APPROACH – George D. Magoulas, Michael N. Vrahatis - 2005
Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts – Naveen Kumar Sharma, Manu Pratap Singh
8 On Training Neural Nets through Stochastic Minimization – Roberto Brunelli - 1994
2 Matrix Algebras In Quasi-Newton Methods For Unconstrained Minimization – Carmine Di Fiore, Stefano Fanelli, Filomena Lepore, Paolo Zellini - 2000
25 Fast Training Algorithms For Multi-Layer Neural Nets – Richard P. Brent - 1993
5 Discovering Efficient Learning Rules for Feedforward Neural Networks using Genetic Programming – Amr Radi, Riccardo Poli - 2002
Learning with First, Second, and No Derivatives: a Case Study in High Energy Physics – Roberto Battiti Dipartimento, Roberto Battiti, Giampietro Tecchiolli - 1994
4 Globally Convergent Algorithms With Local Learning Rates – George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
Accelerating Backpropagation through Dynamic Self-Adaptation – Ralf Salomon Institute, Ralf Salomon, J. Leo Van Hemmen - 1996
15 The Cascade-Correlation Learning Architecture – Scott Fahlman Christian, Christian Lebiere - 1990
6 Rule Extraction from Trained ANN: A Survey – Ashish Darbari - 2001
65 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
67 Theory of Algorithms for Unconstrained Optimization – Jorge Nocedal - 1992