1. Using a New Model of Recurrent Neural Network for Control

   • L. Boquete
   • L. M. Bergasa
   • M. Mazo

   OriginalPaper Pages: 101 - 113

2. Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting

   • Inés M. Galván
   • Pedro Isasi

   OriginalPaper Pages: 115 - 133

3. Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm

   • Sergio Bermejo
   • Joan Cabestany

   OriginalPaper Pages: 135 - 157

4. Learning with Nearest Neighbour Classifiers

   • Sergio Bermejo
   • Joan Cabestany

   OriginalPaper Pages: 159 - 181

5. Generalizations of the Hamming Associative Memory

   • Paul Watta
   • Mohamad H. Hassoun

   OriginalPaper Pages: 183 - 194