1. Function Estimation by Feedforward Sigmoidal Networks with Bounded Weights

   • Nageswara S.V. Rao
   • Vladimir Protopopescu

   OriginalPaper Pages: 125 - 131

2. Eye Tracking in Image Sequences by Competitive Neural Networks

   • Giuseppe Marcone
   • Giuseppe Martinelli
   • Lamberto Lancetti

   OriginalPaper Pages: 133 - 138

3. Local Adaptive Subspace Regression

   • Sethu Vijayakumar
   • Stefan Schaal

   OriginalPaper Pages: 139 - 149

4. Functional Networks

   • Enrique Castillo

   OriginalPaper Pages: 151 - 159

5. Constrained RTRL To Reduce Learning Rate and Forgetting Phenomenon

   • Fabrice Druaux
   • Emmanuel Rogue
   • Alain Faure

   OriginalPaper Pages: 161 - 167

6. Parallel Coarse Grain Computing of Boltzmann Machines

   • Julio Ortega
   • Ignacio Rojas
   • Alberto Prieto

   OriginalPaper Pages: 169 - 184

7. Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network

   • Roman Rosipal
   • Miloš Koska
   • Igor Farkaš

   OriginalPaper Pages: 185 - 197

8. Synchronization of Locally Coupled Neural Oscillators

   • Valentin Dragoi
   • Ioan Grosu

   OriginalPaper Pages: 199 - 210

9. Extraction of Logical Rules from Neural Networks

   • Włodzisław Duch
   • Rafał Adamczak
   • Krzysztof Grąbczewski

   OriginalPaper Pages: 211 - 219