Section 1 — Marco Protasi Lectures.- In Memory of Marco Protasi.- Computational Suspiciousness of Learning in Artificial Neural Nets.- Section 2 — Invited Papers.- Software Foundation Libraries for Intelligent Systems.- Theoretical Approaches to On-Line Learning in Smooth Multilayer Nets.- Section 3 — Review Paper.- Combining Neural Networks Hidden Markov Models for Speech Recognition.- Section 4 — Eduardo R. Caianiello Lecture.- Cellular Neural Networks: An Approach to Circuit Design Information Processing.- Section 5 — Mathematical Models.- Correlation Collapse Under Persistent Input Derangement in the Nervous System. Fitting pRAM Models for Thalamo-Cortical Circuits.- A New Incremental Strategy for Function Approximation by Radial Basis Function Neural Networks.- Soft-Competitive Versus EM Learning in Cortical Map Modeling.- Spatio-Temporal Cortical Activity Patterns in Cognitive Tasks Using fMRI.- Support Vector Machine for Nonparametric Binary Hypothesis Testing.- Learning the Amplitude of Activation Functions in Layered Networks.- The BRAIN Learning Algorithm.- Training Data Selection for Optimal Generalization with Noise Variance Reduction in Neural Networks.- Section 6 — Pattern Recognition and Signal Processing.- Astronomical Object Recognition by Means of Neural Networks.- Learning to Balance a Pole on a Movable Cart Through RL: What Can Be Gained Using Adaptive NN?.- Mean-Field Neural Networks for Antenna Array Diagnostics.- Intitial Letter Spotting as a Complementary Feature for Lexical Filtering of Cursive Words.- Visual Person Localization with Dynamic Neural Fields: Towards a Gesture Recognition System.- Phoneme Classification Using a Rasta-PLP Preprocessing Algorithm and a Time Delay Neural Network: Performance Studies.- A Neural System forRemote Sensing Multispectral Image Classification.- Invariance of WNNs Performance for Pattern Recognition Testing Translated Image Input Spaces.- The CALMA Project: Computer Assisted Library for MAmmography.- Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition.- New Results in Image Compression Through M.A.I.A. Neural Networks.- The Effect of Public Sector on the Financial Sector: An NN Approach in a View of Complexity.- A Hybrid Framework for Indoor Robot Navigation.- Section 7 — Architectures and Algorithms.- Training Feedforward Neural Networks: Convergence Robustness Analysis.- Solving the Travelling Salesman Problem Using the Kohonen Network Incorporating Explicit Statistics.- Boosting Learning Algorithms for the Colorimetric Characterization of Color Printers.- Handwritten Character Recognition with an Analog Feature Extraction Module.- A High Performances and High Versatility Reconfigurable System for Fast Prototyping of Digital Neural Network Based on FPGA.- A L-Based Energy Function for SE Prediction.- Robust Processing of Visual Evoked Potentials.- Convergence Properties of the Circular Cascade Correlation Algorithm.- Neural Learning and Weight Flow on Stiefel Manifold.- From Behavior to VHDL: A CAD Environment for SPNNs.- Incremental Min-Max Network. Part 2: Continuous and Discrete Spaces.- An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Assemblies.- A Comparative Evaluation of Constructive Sequential Methods.- A Unified Approach to Sequential Constructive Methods.- SOMLib: A Distributed Digital Library System Based on Self-Organizing Maps.- Incremental Min-Max Network. Part 1: Continuous Spaces.- Tangent Models: Comparing the TD-Neuron Constructive Algorithm Versus SVD Based Algorithms.- A Neural Multi-AgentArchitecture for an Autonomous Mobile Robot Control.- Author Index.