Neural Nets

Eduardo R. Caianiello Lecture.- Kernel Methods for Clustering.- Models.- A New Neural Network Model for Contextual Processing of Graphs.- Approximation Properties of Positive Boolean Functions.- Switching Neural Networks: A New Connectionist Model for Classification.- Architectures and Algorithms.- Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms.- Recursive Neural Networks and Graphs: Dealing with Cycles.- A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons.- NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information.- A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem.- Signal Processing.- Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Network.- Nonlinear Exploratory Data Analysis Applied to Seismic Signals.- Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter.- Intelligent Predictive Control of Micro Heat Exchanger.- Transient Power System Stabilizer Design Using Simple Neuron Structure.- Short Term Local Meteorological Forecasting Using Type-2 Fuzzy Systems.- Learning and Data Driver Methods for Short Term Meteo Forecast.- Automatic Dictionary Creation by Sub-symbolic Encoding of Words.- Pattern Recognition.- An Automatic Feature Based Face Authentication System,.- On the Preprocessing of Mass Spectrometry Proteomics Data.- Clustering Causal Relationships in Genes Expression Data.- Application of E?Nets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition.- Fuzzy and Neurofuzzy Computing.- Granular Regression.- Fuzzy Logic Activities at the Microelectronics Institute of Seville.- Generalized Fuzzy Similarity Indexes.- Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks.- New Similarity Rules for Mining Data.- Image File Compression Using Region Growing and Interpolation.- Fuzzy Connectivity and Its Application to