Neural Nets WIRN VIETRI-98

Table of Contents

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   Book Overview
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   Chapter 1 In Memory of Marco Protasi
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   Chapter 2 Computational Suspiciousness of Learning in Artificial Neural Nets
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   Chapter 3 Software Foundation Libraries for Intelligent Systems
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   Chapter 4 Theoretical Approaches to On-line Learning in Smooth Multilayer Nets
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   Chapter 5 Combining Neural Networks and Hidden Markov Models for Speech Recognition
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   Chapter 6 Cellular Neural Networks: an Approach to Circuit Design and Information Processing
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   Chapter 7 Correlation Collapse under Persistent Input Derangement in the Nervous System. Fitting pRAM Models for Thalamo-cortical Circuits
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   Chapter 8 A New Incremental Strategy for Function Approximation by Radial Basis Function Neural Networks
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    Chapter 9 Soft-competitive versus EM learning in cortical map modeling
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    Chapter 10 Spatio-temporal cortical activity patterns in cognitive tasks using fMRI
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    Chapter 11 Support Vector Machine for Nonparametric Binary Hypothesis Testing
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    Chapter 12 Learning the Amplitude of Activation Functions in Layered Networks
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    Chapter 13 The BRAIN Learning Algorithm
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    Chapter 14 Training Data Selection for Optimal Generalization with Noise Variance Reduction in Neural Networks
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    Chapter 15 Astronomical Object Recognition by means of Neural Networks
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    Chapter 16 Learning to balance a pole on a movable cart through RL: what can be gained using Adaptive NN?
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    Chapter 17 Mean-Field Neural Networks for Antenna Array Diagnostics
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    Chapter 18 Initial Letter Spotting as a Complementary Feature for Lexical Filtering of Cursive Words
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    Chapter 19 Visual Person Localization with Dynamic Neural Fields: Towards a Gesture Recognition System
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    Chapter 20 Phoneme Classification using a Rasta-PLP preprocessing algorithm and a Time Delay Neural Network: Performance Studies
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    Chapter 21 A Neural System for Remote Sensing Multispectral Image Classification
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    Chapter 22 Invariance of WNNs Performance for Pattern Recognition Testing Translated Image Input Spaces
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    Chapter 23 The CALMA project: Computer Assisted Library for MAmmography
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    Chapter 24 Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition
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    Chapter 25 New Results in Image Compression through M.A.I.A. Neural Networks
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    Chapter 26 The Effect of Public Sector on the Financial Sector: An NN Approach in a View of Complexity.
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    Chapter 27 A Hybrid Framework for Indoor Robot Navigation
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    Chapter 28 Training Feedforward Neural Networks: Convergence and Robustness Analysis
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    Chapter 29 Solving the Travelling Salesman Problem using the Kohonen Network Incorporating Explicit Statistics
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    Chapter 30 Boosting Learning Algorithms for the Colorimetric Characterization of Color Printers
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    Chapter 31 Handwritten Character Recognition with an Analog Feature Extraction Module
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    Chapter 32 A High Performances and High Versatility Reconfigurable System for Fast Prototyping of Digital Neural Network Based on FPGA
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    Chapter 33 A L -based Energy Function for SE Prediction
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    Chapter 34 Robust Processing of Visual Evoked Potentials
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    Chapter 35 Convergence Properties of the Circular Cascade Correlation algorithm
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    Chapter 36 Neural Learning and Weight Flow on Stiefel Manifold
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    Chapter 37 From Behavior to VHDL: A CAD Environment for SPNNs
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    Chapter 38 Incremental Min-Max Network. Part 2: Continuous and Discrete Spaces
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    Chapter 39 An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Asssemblies
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    Chapter 40 A Comparative Evaluation of Sequential Constructive Methods
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    Chapter 41 A Unified Approach to Sequential Constructive Methods
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    Chapter 42 SOMLib: A Distributed Digital Library System based on Self-Organizing Maps
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    Chapter 43 Incremental Min-Max Network. Part 1: Continuous Spaces
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    Chapter 44 Tangent Models: Comparing the TD-Neuron Constructive Algorithm versus SVD Based Algorithms
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    Chapter 45 A Neural Multi-Agent Architecture for an Autonomous Mobile Robot Control