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ESANN 2000: Bruges, Belgium
- 8th European Symposium on Artificial Neural Networks, ESANN 2000, Bruges, Belgium, April 26-28, 2000, Proceedings. 2000
Data and signal analysis
- Mark A. Girolami:
A generative model for sparse discrete binary data with non-uniform categorical priors. 1-6 - Michael Dittenbach, Dieter Merkl, Andreas Rauber:
Using Growing hierarchical self-organizing maps for document classification. 7-12 - John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen:
A robust non-linear projection method. 13-20 - Jordi Solé i Casals, Anisse Taleb, Christian Jutten:
Parametric approach to blind deconvolution of nonlinear channels. 21-26
Support Vector Machines
- Colin Campbell:
Algorithmic approaches to training Support Vector Machines: a survey. 27-36 - Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle:
Sparse least squares Support Vector Machine classifiers. 37-42 - Dominique Martinez, Gilles Millerioux:
Support Vector Committee Machines. 43-48 - Ralf Herbrich, Thore Graepel, Colin Campbell:
Robust Bayes Point Machines. 49-54
Model selection and evaluation
- Joaquín Pizarro Junquera, Elisa Guerrero Vázquez, Pedro L. Galindo:
A statistical model selection strategy applied to neural networks. 55-60 - Riadh Kallel, Marie Cottrell, Vincent Vigneron:
Bootstrap for neural model selection. 61-68 - Masashi Sugiyama, Hidemitsu Ogawa:
A new information criterion for the selection of subspace models. 69-74 - Georgios Papadopoulos, Peter J. Edwards, Alan F. Murray:
Confidence estimation methods for neural networks : a practical comparison. 75-80
Artificial neural networks and robotics
- Richard J. Duro, José Santos Reyes, José Antonio Becerra, Francisco Bellas, José Luis Crespo:
Using higher order synapses and nodes to improve sensing capabilities of mobile robots. 81-88 - Elsa Fernández, Imanol Echave, Manuel Graña:
Competitive neural networks for robust computation of the optical flow. 89-94 - Francesco Panerai, Giorgio Metta, Giulio Sandini:
Learning VOR-like stabilization reflexes in robots. 95-102 - Roberto Iglesias, Manuel Fernández Delgado, Senén Barro:
Learning of perceptual states in the design of an adaptive wall-following behavior. 103-108
ANN models and learning I
- Wen-Jyi Hwang, Chien-Min Ou, Shi-Chiang Liao, Ching-Fung Chine:
Fuzzy entropy-constrained competitive learning algorithm. 109-116 - Gianluigi Rech:
Specification, estimation and evaluation of single hidden-layer feedforward autoregressive artificial neural network models. 117-122 - Lu Wei, Jagath C. Rajapakse:
A neural network for undercomplete independent component analysis. 123-128 - Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic:
Distributed clustering and local regression for knowledge discovery in multiple spatial databases. 129-134 - Frank Heister, Gregor Schock:
Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual information. 439-444 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
Influence of weight-decay training in input selection methods. 135-140 - Peter J. Edwards, Alan F. Murray:
Committee formation for reliable and accurate neural prediction in industry. 141-146
Non-linear dynamics and control
- Toru Ohira:
Toward encryption with neural network analogy. 147-152 - Ping Jiang, Rolf Unbehauen:
Iterative learning neural network control for nonlinear system trajectory tracking. 153-158 - Piero A. Gili, Manuela Battipede:
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model. 159-164
Neural networks in medicine
- Thomas Villmann:
Neural networks approaches in medicine - a review of actual developments. 165-176 - Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter:
A neural network architecture for automatic segmentation of fluorescence micrographs. 177-182 - Guojun Bao, Jagath C. Rajapakse:
Boundary based movement correction of functional MR data using a genetic algorithm. 183-188 - Axel Wismüller, Frank Vietze, Dominik R. Dersch, Klaus Hahn, Helge J. Ritter:
A neural network approach to adaptive pattern analysis - the deformable feature map. 189-194 - Armando Bazzani, Alessandro Bevilacqua, Dante Bollini, Rosa Brancaccio, Renato Campanini, Nico Lanconelli, Alessandro Riccardi, Davide Romani, Gianluca Zamboni:
Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier. 195-200 - Rüdiger W. Brause, F. Friedrich:
A neuro-fuzzy approach as medical diagnostic interface. 201-206
ANN models and learning II
- John A. Bullinaria, Patricia M. Riddell:
Regularization in oculomotor control. 207-212 - Barbara Hammer:
Limitations of hybrid systems. 213-218 - Elio D. Di Claudio, Raffaele Parisi, Gianni Orlandi:
Discriminative learning for neural decision feedback equalizers. 219-226 - M. A. Torres, M. E. Pardo, J. M. Pupo, Luciano Boquete, Rafael Barea, Luis Miguel Bergasa:
Neurocontrol of a binary distillation column. 227-232 - Rafael Barea, Luciano Boquete, Manuel Mazo, Elena López Guillén, Luis Miguel Bergasa:
E.O.G. guidance of a weelchair using spiking neural networks. 233-238
Self-organizing maps for data analysis
- Jouko Lampinen, Timo Kostiainen:
Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation. 239-244 - Eric de Bodt, Marie Cottrell:
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. 245-254 - Arnulfo P. Azcarraga:
Evaluating SOMs using order metrics. 255-260 - John A. Flanagan:
Self-Organisation in the SOM with a finite number of possible inputs. 261-266 - Mustapha Lebbah, Fouad Badran, Sylvie Thiria:
Topological map for binary data. 267-272 - Markus Varsta, Jukka Heikkonen, Jouko Lampinen:
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. 273-280
Recurrent networks
- Jochen J. Steil:
Local input-output stability of recurrent networks with time-varying weights. 281-286 - Zalán Heszberger, József Bíró, Edith Halász:
An optimization neural network model with time-dependent and lossy dynamics. 287-292 - Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville:
An algorithm for the addition of time-delayed connections to recurrent neural networks. 293-298
Time series prediction
- Johan A. K. Suykens, Joos Vandewalle:
The K.U.Leuven competition data: a challenge for advanced neural network techniques. 299-304 - James McNames:
Local model optimization for time series prediction. 305-310 - Gianluca Bontempi, Mauro Birattari:
A multi-steap ahead prediction method based on local dynamic properties. 311-316 - Ulrich Parlitz, Christian Merkwirth:
Nonlinear prediction of spatio-temporal time series. 317-322 - Maurits D. Out, Walter A. Kosters:
A Bayesian approach to combined neural networks forecasting. 323-328 - Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen:
Time series forecasting using CCA and Kohonen maps - application to electricity consumption. 329-334 - Anna Lombardi, Antonio Vicino:
Financial predictions based on bootstrap-neural networks. 335-340 - Skander Soltani:
On the use of the wavelet decomposition for time series prediction. 341-346 - Luis Monzón Benítez, Ademar Ferreira, Diana I. Pedreira Iparraguirre:
Chaotic time series prediction using the Kohonen algorithm. 347-352 - Patrick Rousset:
Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen map. 353-358
ANN models and learning III
- Thomas Voegtlin:
Learning principal components in a contextual space. 359-364 - Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Training activation function in parametric classification. 365-370 - Jun-ichi Inoue:
Quantum iterative algorithm for image reconstruction problems. 371-376 - Sven Buchholz, Gerald Sommer:
Quaternionic spinor MLP. 377-382 - Bernard Girau:
Simplified neural architectures for symmetric boolean functions. 383-388
Artificial neural networks for energy management systems
- Gonzalo Joya Caparrós:
Connectionist solutions for energy management systems. 389-400 - Christian Rehtanz, Carsten Leder:
Stability assessment of electric power systems using growing neural gas and self-organizing maps. 401-406 - José Nuno Fidalgo, João Abel Peças Lopes:
Load forecasting dealing with medium voltage network reconfiguration. 407-412 - Elena Savelieva, Alexey Kravetski, Sergey Chernov, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski:
Application of MLP and stochastic simulations for electricity load forecasting in Russia. 413-418
Learning in biological and artificial systems
- Sander M. Bohté, Joost N. Kok, Johannes A. La Poutré:
SpikeProp: backpropagation for networks of spiking neurons. 419-424 - Gaetano Liborio Aiello, Paul Bach-y-Rita:
Nonsynaptically connected neural nets. 425-430 - Winfried A. Fellenz, John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields. 431-436
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