SOCO'97

• Plenary Sessions
  • High-Performance Soft Computing for Large-Scale Design Automation
    H. Adeli
  • Independence Seeking Negative Feedback Networks
    C. Fyfe
• Fuzzy Logic Applications
  • Application of Fuzzy-logic for the Classification of Molecules as a Function of their Biodegradability
    N. Peton, G. Dray, D. Pearson, S. Fass
  • Determination of Physical Parameters for Microstrip Lines by Fuzzy Method
    T. Ahmad, Z. Ghassemlooy, A. K. Ray
  • Intelligent Information Retrieval from the World Wide Web Using Fuzzy User Modelling
    G. Mooney
  • Definition of Load Balancing Algorithms in Distributed Systems through Neuro-Fuzzy Systems
    C. Kavka, M. L. Crespo, M. Cena
  • Fuzzy Adaptive Approach for Fast Correspondence of Singular Points in Stereo Images
    M. Las-Heras, J. Amat, J. Saludes
  • Intelligent Control Over the Redisplay Dynamics of an Adaptive Information Visualisation System
    Z. Zhang, P Anderson, B. Bignail
  • A Fuzzy Model in HIV / AIDS Epidemiology: Predicting the Clinical Course Basing on HIV Viral Load
    E. Massad, M. N. Burattini
  • Fuzzy Risk Estimators in Epidemiology
    C. J. Struchiner, N. R. Siqueira Ortega, E. Massad, M. N. Burattini
  • Determination of a Wildland Fire Rate of Spread Model Using Fuzzy Logic
    S. Sauvagnargues, G. Dusserre, G. Dray, N. Peton, D.W Pearson
  • Fuzzy Control for Command, Control and Decision Support in Mobile and Geographically Distributed Operations
    S. C. Holmberg
  • Direct Fuzzy Logic Control of a Solar Power Plant Using Distributed Collector Fields
    P. C. K. Luk, K. K. Khoo, M. Berenguel
• Automata and Multi-Agents
  • Exploring Perspectives on Objectives within Self-Generated Cyber Models
    D. A. Harrell
  • Multi Agent Adaptive Architecture for Forecasting
    J. M. Corchado, C. Fyfe, B. Lees, R. Garcia Bermejo-Giner
• Neural Networks Theory
  • Automatic Data Classification with Neural Elastic Networks
    P. Biela Enberg, J. G. Postaire
  • Functional Neural Gas Network for On-Line Time-Series Prediction
    A. Dobnikar, A. Likar
  • Limited Weights Neural Networks: Very Tight Entropy Based Bounds
    V. Beiu, S. Draghici
  • On Some Assembly Variant
    F. E. Lauria, R. Prevete, M. Mile, S. Visco
  • Learning POMDP Models in Unkown Environments
    S. A. Velátizquez Lerma
  • Local Models for Coding
    S. McGlinchey, C. Fyfe
  • Tracking Independent Sources
    C. Fyfe, M. Girolami
  • Time-Series Prediction in Distinguishing Between Low-dimensional Dynamics and Randomness
    B. Ster, A. Dobnikar
  • Time Series Prediction with Modular Neural Network Architecture
    M. Trebar, A. Dobnikar
  • Neural-Based Methods for Classification: Comparison, Implementation and Application
    A. Johannet, D. Diep, P. Bonnefoy, F Harroy
  • Adaptive RBF Neural Networks
    I. Gabrgel, A. Dobnikar
  • Synthesis of Oscillatory Dynamical System in Hamiltonian Coordinates with Neural Networks
    A. Lozowski, J. M. Zurada
  • Memory Neuron Networks for Identification of Nonlinear Dynamical Systems
    N. Chatty, V Perdereau, M. Milgram, M. Drouin, J. C. Riat
• Fuzzy Set Theory
  • Structure Identification of Fuzzy Models
    A. Kroll, A. Agte
  • DFOL : A Data Fusion Object Library
    G. Zunino, A. M. Jolly-Desodt, D. Jolly
  • Data Fusion : A New Adaptive Combinaison Rule
    G. Zunino, F Delmotte, A. M. Jolly-Desodt, D. Jolly
  • On Linear Fuzzy Dynamical Systems
    D. W Pearson, G. Dray, N. Peton
  • Elaboration of Learned Linguistic Descriptions in the Frame of LFLC
    V. Novák, R. Smoliková
• Genetic and Evolutionary Algorithm Applications
  • Analysis of the Selection-recombination Genetic Algorithm for the Bit-counting Function
    H. Muhlenbéin, U. K. Chakraborty
  • Numerical Data-Based GA Fuzzy Modeling with Fine Tuning Method
    W. Chang, Y S. Son, J. B. Park, Y H. Joo
  • Multi-objective Stochastic Reasoning and Genetic Algorithm Optimization: Applications in Radiotherapy Treatment Planning
    Y Vu, YB Y Zhang, M. C. Schell
  • A Genetic Algorithm Approach to Robot Modelling
    L. Acosta, L. Moreno, M. Dimitrova, A. Hamilton, J. A. Médez, G. N. Marichal
  • Nessy - An Evolutionary Learning Neural Network
    M. Köppen, M. Teunis, B. Nickolay
  • Evolving Fuzzy Petri Nets Using Generic Genetic Programming and Cellular Encoding
    M. L. Wong
  • Dynamical Behavior Optimization of Damped Supports by Genetic Algorithms and Simulated Annealing
    L. Slátima, J. Slavik, T Brezina, C. Kratochvil
  • Evolutionary Programming for Optimal Design of Fuzzy Controllers
    F Abbattista, G. Castellano, A. M. Fanelli
• System Modelling and Al
  • A Design Tool for Metallurgical Ladles
    J. Torrkulla, T. P. Fredman, H. Saxén
  • Soft Computing with Markov Chains and Optimisation
    A. Tankeh, E. H. Mamdani, B. Azvine
  • Al - Revisited
    K. G. Char
  • Decision Tree Induction Methods Using an Entropy Criterion - I - Global Approaches
    P. B. Perche, D. Pomorski
  • Decision Tree Induction Methods Using an Entropy Criterion - II - Local Approaches
    P. B. Perche, D. Pomorski
• Genetic and Evolutionary Algorithm Theory
  • Strategies for Migration Overseeing in Asynchronous Schemes of Parallel Genetic Algorithms C. Ochoa, R. Gallard
  • Folding Genetic Algorithms : The Royal Road toward an Optimal Chromosome’s Expressiveness A. Gaspar, M. Clergue, P. Collard
  • DGA and Pareto Elitism : Improving Pareto Optimization M. Clergue, P. Collard, A. Gaspar
  • Noise, Neighbourhoods and Niches C. Fyfe
  • On the Searching Ability of Simulated Annealing and Genetic Algorithms Y Uesaka
  • Efficient Implementation of Distributed Genetic Algorithms on Network of Workstations N. Yoshida, R. Araki
  • GAP : Generic VLSI Processor for Genetic Algorithms N. Yoshida, T. Moriki, T Yasuoka
  • Solving the Quadratic Assignment Problem with Genetic Programming R. Jagielski
  • Neural Networks Applications Comparison of Methods for Processing Data in Weightless Networks Using a Software Simulator S. Lauria, R. J. Mitchell
  • Neural Computing Architecture as Part of an Multimedia Decision Support System for Breast Cancer J. Brandt, Y Wilcox, A. James
  • Using Local-in-Time Hebbian Learning to Decipher Movement in Video D. Charles, C. Fyfe
  • Discovering Independent Sources with an Adapted PCA Neural Network D. Charles, C. Fyfe
  • Image Compression Using Shared Weights and Bidirectional Networks T. D. Gedeon, J. A. Catalan, J. Jin
  • Neural Network and Hidden Markov Model Classification of Schizophrenia Using Eye Gaze Data T. D. Gedeon, K. K. Kozek
  • Neural Network Forecasting of the Spot-Price in the Norwegian Day-Ahead Market for Electricity. A Novel Approach to Multivariate Multi-Step Time-Series Forecasting. D. Roverso
  • Nonlinear Control Based on Neural Networks: Comparison Between Different Schemes P. Couturier, A. Johannet, M. Bétemps
  • Self-Organizing Maps of Words for Natural Language Processing Applications T. Honkela