Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeurocomputing, Volume 63
Volume 63, January 2005
- Marie Cottrell, Barbara Hammer
, Thomas Villmann:
New Aspects in Neurocomputing. 1-3 - Ulf D. Schiller, Jochen J. Steil:
Analyzing the weight dynamics of recurrent learning algorithms. 5-23 - Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre, Salem Zerkaoui:
Autonomous learning algorithm for fully connected recurrent networks. 25-44 - Brijnesh J. Jain, Fritz Wysotzki:
Solving inexact graph isomorphism problems using neural networks. 45-67 - Marc Strickert, Barbara Hammer, Sebastian Blohm:
Unsupervised recursive sequence processing. 69-97 - Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
Self-organizing mixture models. 99-123 - Jens Christian Claussen, Thomas Villmann:
Magnification control in winner relaxing neural gas. 125-137 - Michaël Aupetit, Thibaud Catz:
High-dimensional labeled data analysis with topology representing graphs. 139-169 - Manuel Martín-Merino, Alberto Muñoz:
Visualizing asymmetric proximities with SOM and MDS models. 171-192 - Marie Cottrell, Patrick Letrémy:
How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey. 193-207 - Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three-layer neural networks. 209-228 - Bruno Scherrer:
Asynchronous neurocomputing for optimal control and reinforcement learning with large state spaces. 229-251 - Wako Yoshida, Shin Ishii:
Model-based reinforcement learning: a computational model and an fMRI study. 253-269 - Kai Gersmann, Barbara Hammer:
Improving iterative repair strategies for scheduling with the SVM. 271-292 - Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Subset based least squares subspace regression in RKHS. 293-323 - Di Huang, Tommy W. S. Chow:
Effective feature selection scheme using mutual information. 325-343 - Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh:
Genetic channel-optimized vector quantizer design for burst error channels. 345-357 - Urszula Markowska-Kaczmar, Wojciech Trelak:
Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks. 359-379 - Biswanath Bhattacharya, Dimitri P. Solomatine:
Neural networks and M5 model trees in modelling water level-discharge relationship. 381-396 - Manoochehr Ghiassi, Hassine Saidane:
A dynamic architecture for artificial neural networks. 397-413 - Richard T. Freeman, Hujun Yin:
Tree view self-organisation of web content. 415-446 - Larry M. Manevitz, Akram Bitar, Dan Givoli:
Neural network time series forecasting of finite-element mesh adaptation. 447-463 - Ghassan I. Gholmieh, Spiros H. Courellis, Vasilis Z. Marmarelis, Theodore W. Berger:
Detecting CA1 short-term plasticity variations associated with changes in stimulus intensity and extracellular medium composition. 465-481 - Frauke Friedrichs, Michael Schmitt:
On the power of Boolean computations in generalized RBF neural networks. 483-498 - Jay Hegdé, D. J. Felleman:
Modeling the observed center-surround summation in macaque visual area V1. 499-525 - Yi Da, Ge Xiurun:
An improved PSO-based ANN with simulated annealing technique. 527-533 - Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Bio-molecular cancer prediction with random subspace ensembles of support vector machines. 535-539
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-18 20:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
