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Computational and Ambient Intelligence

9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Francisco Sandoval
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  2. Alberto Prieto
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  3. Joan Cabestany
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  4. Manuel Graña
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4507)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: IWANN 2007.

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Table of contents (140 papers)

  1. Front Matter

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  2. Theoretical Concepts and Neuro Computational Formulations

    1. Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in Global Optimization

      • Arturo Berrones
      Pages 1-7

    2. Dynamics of Neural Networks - Some Qualitative Properties

      • Daniela Danciu, Vladimir Răsvan
      Pages 8-15

    3. A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier

      • Liwei Fan, Kim Leng Poh
      Pages 16-22

    4. Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons

      • Roberta Sirovich, Laura Sacerdote, Alessandro E. P. Villa
      Pages 23-30

    5. An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test

      • O. Pernía, J. M. Górriz, J. Ramírez, C. G. Puntonet, I. Turias
      Pages 31-38

    6. Analysis of Hebbian Models with Lateral Weight Connections

      • Pedro J. Zufiria, J. Andrés Berzal
      Pages 39-46

    7. Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiers

      • Juan-José González de-la-Rosa, Carlos G. Puntonet, Antonio Moreno Muñoz
      Pages 47-54

    8. Bio-inspired Memory Generation by Recurrent Neural Networks

      • Manuel G. Bedia, Juan M. Corchado, Luis F. Castillo
      Pages 55-62

    9. Non-parametric Residual Variance Estimation in Supervised Learning

      • Elia Liitiäinen, Amaury Lendasse, Francesco Corona
      Pages 63-71

    10. A Study on the Use of Statistical Tests for Experimentation with Neural Networks

      • Julián Luengo, Salvador García, Francisco Herrera
      Pages 72-79

  3. Improving Models and Learning Procedures

    1. Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory

      • Vassilis G. Kaburlasos
      Pages 80-93

    2. A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems

      • Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Marcos Gestal
      Pages 94-101

    3. Robust LTS Backpropagation Learning Algorithm

      • Andrzej Rusiecki
      Pages 102-109

    4. Heuristic Search Based Exploration in Reinforcement Learning

      • Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung
      Pages 110-118

    5. Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution

      • Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 119-126

    6. Automatic Model Selection for Probabilistic PCA

      • Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
      Pages 127-134

    7. Probabilistic Aggregation of Classifiers for Incremental Learning

      • Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
      Pages 135-143

    8. Behaviour-Based Clustering of Neural Networks Applied to Document Enhancement

      • F. Zamora-Martínez, S. España-Boquera, M. J. Castro-Bleda
      Pages 144-151

    9. Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis

      • Ioanna Roussaki, Ioannis Papaioannou, Miltiades Anangostou
      Pages 152-161
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About this book

We present in this volume the collection of finally accepted papers for the ninth e- tion of the IWANN conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the computational intelligence community and the domain itself have matured and evolved. Under the computational intelligent banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and natural entities for the correct elaboration of theories, models and new algorithms. For scientifics, engineers and professionals working in the area, this is a very good way to get real, solid and c- petitive applications. More and more, these new computational techniques are used in applications that try to bring a new situation of well-being to the user. The conjunction of a more and more miniaturized hardware together with the growing computational intelligence embodied in this hardware leads us towards fully integrated embedded systems-on- chip and opens the door for truly ubiquitous electronics.

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