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Home > Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings > An Experimental Study on Training Radial Basis Functions by Gradient Descent
Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings |
Friedhelm Schwenker; Simone Marinai
Springer Berlin Heidelberg
Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings
An Experimental Study on Training Radial Basis Functions by Gradient Descent
Authors

Joaquín Torres-Sospedra; Carlos Hernández-Espinosa; Mercedes Fernández-Redondo

ARI Id

1665045891645_4601744

Access

Not Available Free

Pages

81-92

DOI

10.1007/11829898_8

Chapter URL

https://rd.springer.com/chapter/10.1007/11829898_8

Table of Contents of Book
Showing 1 to 20 of 28 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
Edmondo Trentin
1-10
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition
Zouhour Neji Ben Salem; Laurent Bougrain; Frédéric Alexandre
11-20
Adaptive Feedback Inhibition Improves Pattern Discrimination Learning
Frank Michler; Thomas Wachtler; Reinhard Eckhorn
21-32
Supervised Batch Neural Gas
Barbara Hammer; Alexander Hasenfuss; Frank-Michael Schleif; Thomas Villmann
33-45
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Thomas Villmann; Udo Seiffert; Frank-Michael Schleif; Cornelia Brüß; Tina Geweniger; Barbara Hammer
46-56
On the Effects of Constraints in Semi-supervised Hierarchical Clustering
Hans A. Kestler; Johann M. Kraus; Günther Palm; Friedhelm Schwenker
57-66
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels
Neamat El Gayar; Friedhelm Schwenker; Günther Palm
67-80
An Experimental Study on Training Radial Basis Functions by Gradient Descent
Joaquín Torres-Sospedra; Carlos Hernández-Espinosa; Mercedes Fernández-Redondo
81-92
A Local Tangent Space Alignment Based Transductive Classification Algorithm
Jianwei Yin; Xiaoming Liu; Zhilin Feng; Jinxiang Dong
93-106
Incremental Manifold Learning Via Tangent Space Alignment
Xiaoming Liu; Jianwei Yin; Zhilin Feng; Jinxiang Dong
107-121
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Johannes Fieres; Karlheinz Meier; Johannes Schemmel
122-132
Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks
Hilario López García; Iván Machón González
133-143
Support Vector Regression Using Mahalanobis Kernels
Yuya Kamada; Shigeo Abe
144-152
Incremental Training of Support Vector Machines Using Truncated Hypercones
Shinya Katagiri; Shigeo Abe
153-164
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Yusuke Torii; Shigeo Abe
165-176
Multiple Classifier Systems for Embedded String Patterns
Barbara Spillmann; Michel Neuhaus; Horst Bunke
177-187
Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images
Lionel Prevost; Rachid Belaroussi; Maurice Milgram
188-197
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Rebecca Fay; Friedhelm Schwenker; Christian Thiel; Günther Palm
198-209
Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization
Joaquín Torres-Sospedra; Carlos Hernández-Espinosa; Mercedes Fernández-Redondo
210-220
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 28 entries
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