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Home > Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I > Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I |
Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada
Springer International Publishing
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I
Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning
Authors

Mandy Lange; David Nebel; Thomas Villmann

ARI Id

1665045618191_4600184

Access

Not Available Free

Pages

77-88

DOI

10.1007/978-3-319-07173-2_8

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-07173-2_8

Table of Contents of Book
Showing 1 to 20 of 77 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Front Matter
1-1
Hybrid System of ART and RBF Neural Networks for Classification of Vibration Signals and Operational States of Wind Turbines
Andrzej Bielecki; Tomasz Barszcz; Mateusz Wójcik; Marzena Bielecka
3-11
The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks
Jarosław Bilski; Jacek Smoląg; Alexander I. Galushkin
12-21
A Cascade Neural Network Architecture Investigating Surface Plasmon Polaritons Propagation for Thin Metals in OpenMP
Francesco Bonanno; Giacomo Capizzi; Grazia Lo Sciuto; Christian Napoli; Giuseppe Pappalardo; Emiliano Tramontana
22-33
Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects
Joseph Lin Chu; Adam Krzyżak
34-46
A New Multilayer Perceptron Initialisation Method with Selection of Weights on the Basis of the Function Variability
Krzysztof Halawa
47-58
Soft Committee Machine Using Simple Derivative Term
Kazuyuki Hara; Kentaro Katahira
59-66
Representations of Highly-Varying Functions by One-Hidden-Layer Networks
Věra Kůrková
67-76
Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning
Mandy Lange; David Nebel; Thomas Villmann
77-88
Spin-glass Implementation of a Hopfield Neural Structure
Łukasz Laskowski; Magdalena Laskowska; Jerzy Jelonkiewicz; Arnaud Boullanger
89-96
Neural-Network Based Robust FTC: Application to Wind Turbines
Marcel Luzar; Marcin Witczak; Józef Korbicz; Piotr Witczak
97-108
An Improved Adaptive Self-Organizing Map
Dominik Olszewski
109-120
Usage of the TRACO Compiler for Neural Network Parallelization
Marek Palkowski; Wlodzimierz Bielecki
121-130
Training Neural Networks on Noisy Data
Andrzej Rusiecki; Mirosław Kordos; Tomasz Kamiński; Krzysztof Greń
131-142
Principal Component Analysis to Reduce Forecasting Error of Industrial Energy Consumption in Models Based on Neural Networks
Isaac Santos Sacramento; Gueibi Peres Souza; Raul Sidnei Wazlawick
143-154
Boundedness of Weight Elimination for BP Neural Networks
Jian Wang; Jacek M. Zurada; Yanjiang Wang; Jing Wang; Guofang Xie
155-165
Front Matter
167-167
New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects
Łukasz Bartczuk; Andrzej Przybył; Petia Koprinkova-Hristova
169-180
Intuitionistic Fuzzy Decision Trees - A New Approach
Paweł Bujnowski; Eulalia Szmidt; Janusz Kacprzyk
181-192
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 77 entries
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