New Directions in Neural Networks :18th Italian Workshop on Neural Networks: WIRN 2008 ( Frontiers in Artificial Intelligence and Applications )

Publication subTitle :18th Italian Workshop on Neural Networks: WIRN 2008

Publication series : Frontiers in Artificial Intelligence and Applications

Author: Apolloni B.;Bassis S.;Marinaro M.  

Publisher: Ios Press‎

Publication year: 2009

E-ISBN: 9781607504146

P-ISBN(Paperback): 9781586039844

Subject: TP Automation Technology , Computer Technology

Keyword: 自动化技术、计算机技术

Language: ENG

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Description

The book is a collection of selected papers from the 18th WIRN workshop, the annual meeting of the Italian Neural Networks Society (SIREN). As the number 18 marks the year young people come of age in Italy, the society invited two generations of researchers to participate in a discussion on neural networks: those new to the field and those with extensive familiarity with the neural paradigm. The challenge laid in understanding what remains of the revolutionary ideas from which neural networks stemmed in the eighties, how these networks have evolved and influenced other research fields, and ultimately, what the new conceptual/methodological frontiers are that need to be trespassed for a better exploitation of the information carried by data. This book presents the outcome of this discussion. New Directions in Neural Networks is divided in two general subjects, ‘models’ and ‘applications’ and two specific ones, ‘economy and complexity’ and ‘remote sensing image processing’. The editors of this book have set out to publish a scientific contribution to the discovery of new forms of cooperative work that are necessary today for the invention of efficient computational systems and new social paradigms.

Chapter

Neural Networks for the Parameters Characterization of ECG Dynamical Model

Multiresolution Minimization of Renyi’s Mutual Information for Fetal-ECG Extraction

Classification of DNA Microarray Data with Random Projection Ensembles of Polynomial SVMs

An Embedded Fingerprints Classification System Based on Weightless Neural Networks

Discovering Regression Data Quality Through Clustering Methods

Chapter 2. Models

A Flexible Natural Gradient Approach to Blind Separation of Complex Signals

Single Channel Polyphonic Music Transcription

Genetic Regulatory Networks and Neural Networks

An Experimental Comparison of Kernel Clustering Methods

Diffusion Learning and Regularization

Sources of Asymmetric Randomness

Random Projections Preserving the Hamming Distance Between Words

Notes on Factor Graphs

Chapter 3. Economy and Complexity Workshop

Safety Loading in the Annuity Pension Fund Dynamics

Early Warning Systems: An Approach via Self Organizing Maps with Applications to Emergent Markets

Optimal Partial Questioning in Large Dimensional AHP

Evaluation of Fuzzy Quantities by Means of a Weighting Function

Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence

Fuzzy Interval Net Present Value

Interactive Visualization Tools for Meta-Clustering

Chapter 4. Remote Sensing Images Processing

Remote Sensing Imagery for Soil Characterization: A Wavelet Neural Data Fusion Approach

Application of Self Organizing Maps to Multi-Resolution and Multi-Spectral Remote Sensed Images

Comparison of Neural Classification Algorithms Applied to Land Cover Mapping

Author Index

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