Abstract is missing.
- A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networksAndreu Català Mallofré, Joseph Aguilar-Martin, Bernardo Morcego Seix, Núria Piera Carreté. [doi]
- Evolving neural network learning behaviours with set-based chromosomesSimon M. Lucas. [doi]
- On unlearnable problems -or- A model for premature saturation in backpropagation learningChristian Goerick, Werner von Seelen. [doi]
- Incremental category learning in a real world artifact using growing dynamic cell structuresChristian Scheier. [doi]
- Bounds on the degree of high order binary perceptronsEddy Mayoraz. [doi]
- Investigating lexical access using neural netsMalti Patel. [doi]
- Error rate estimation via cross-validation and learning curve theoryA. Varfis, L. Corleto. [doi]
- On the critical points of the 1-dimensional competitive learning vector quantization algorithmDamien Lamberton, Gilles Pagès. [doi]
- Representation of obstacles in a neural network based classifier systemN. R. Ball. [doi]
- Constraining of weights using regularitiesJoost N. Kok, Elena Marchiori, Massimo Marchiori, Claudio Rossi. [doi]
- Rates of approximation of real-valued boolean functions by neural networksKaterina Hlavácková-Schindler, Vera Kurková. [doi]
- FlexNet - A flexible neural network construction algorithmKarim Mohraz, Peter Protzel. [doi]
- Prediction of dynamical systems with composition networksYves Moreau, Joos Vandewalle. [doi]
- Combining sigmoids and radial basis functions in evolutive neural architecturesRachida Chentouf, Christian Jutten. [doi]
- On global self-organizing mapsWlodzislaw Duch, Antoine Naud. [doi]
- Accomodating relevance in neural networksHui Wang, David A. Bell. [doi]
- Quantization vs Organization in the Kohonen S.O.MJean-Claude Fort, Gilles Pagès. [doi]
- Praticing Q-learningJörg Bruske, Ingo Ahrns, Gerald Sommer. [doi]
- The extraction of Sugeno fuzzy rules from neural networksAdelmo Luis Cechin, Ulrich Epperlein, Wolfgang Rosenstiel, Bernhard Koppenhoefer. [doi]
- Recurrent least square learning for quasi-parallel principal component analysisWlodzimierz Kasprzak, Andrzej Cichocki. [doi]
- Regulated Activation Weights Neural Network (RAWN)Hubert A. B. te Braake, H. J. L. van Can, Gerrit van Straten, Henk B. Verbruggen. [doi]
- A correlation-based network for real-time processingJey Ngole. [doi]
- Adaptative time constants improve the dynamic features of recurrent neural networksJean-Philippe Draye, Davor Pavisic, Guy Cheron, Gaetan Libert. [doi]
- Synaptic efficiency modulations for context integration: The meta ODWE architectureNicolas Pican. [doi]
- Towards constructive and destructive dynamic network configurationStefan Wermter, Manuela Meurer. [doi]
- An algorithm for training multilayer networks on non-numerical dataWojtek Kowalczyk. [doi]
- Neural network application: rainfall forecasting system in Hong KongTommy W. S. Chow, Siu-Yeung Cho. [doi]
- A self-organizing map for analysis of high-dimensional feature spaces with clusters of highly differing feature densityStefan Schünemann, Bernd Michaelis. [doi]
- An adaptive technique for pattern recognition by the random neural networkMyriam Mokhtari, Herman Akdag. [doi]
- A novel two-layer neural network classifierG. Qiu. [doi]
- Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddingsRadu Dogaru, A. T. Murgan, Cristina Comaniciu. [doi]
- Regularization and neural computation: application to aerial images analysisE. Schaeffer, P. Bourret, S. Montrozier. [doi]
- Neural approaches to independent component analysis and source separationJuha Karhunen. [doi]
- An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and predictionArnfried Ossen, Stefan M. Rüger. [doi]
- Interpreting data through neural and statistical toolsAnne Guérin-Dugué, Carlos Avilez-Cruz, Patricia Palagi. [doi]
- Neurotransmitterdynamics in a model of a movement detecting visual systemH. A. K. Mastebroek. [doi]
- Growing self-organizing networks - Why ?Bernd Fritzke. [doi]
- Neural versus neurofuzzy systems for credit approvalSelwyn Piramuthu. [doi]
- Simulation of an inner plexiform layer neural circuit in vertebrate retina leads to sustained and transient excitationGreg Maguire, Simon X. Yang. [doi]
- Neural model for visual contrast detectionEnno Littmann, Heiko Neumann, Luiz Pessoa. [doi]
- Biologically inspired eye movements for visually guided navigation of mobile robotsFabrizio Mura, Nicolas Martin, Nicolas H. Franceschini. [doi]
- Maximum covariance method for weight initialization of multilayer perceptron networkMikko Lehtokangas, Petri Korpisaari, Kimmo Kaski. [doi]
- Negative initial weights improve learning in recurrent neural networksDavor Pavisic, Jean-Philippe Draye, Roberto Teran, Gustavo Calderon, Guy Cheron, Gaetan Libert. [doi]
- Time series prediction using neural networks and its application to artificial human walkingRienk S. Venema, Alexander Ypma, J. A. G. Nijhuis, Lambert Spaanenburg. [doi]
- A Kohonen map representation to avoid misleading interpretationsMarie Cottrell, Eric de Bodt. [doi]
- Identification of gait patterns with self-organizing maps based on ground reaction forceMonika Köhle, Dieter Merkl. [doi]
- Application of high-order Boltzmann machines in OCRA. de la Hera, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri. [doi]
- Analysis of visual information by receptive field dynamicsChristof Born. [doi]
- Using a Meta Neural Network for RPROP parameter adaptationColin McCormack. [doi]