Proceedings of the
6th WSEAS International Conference on
NEURAL NETWORKS
-NN 2005-
Lisbon, Portugal, June 16-18, 2005
THURSDAY, JUNE 16, 2005
Keynote Lecture:
From Search
Engines to Question-Answering Systems:
The Problems of World Knowledge, Relevance, Deduction and Precisiation
Prof. Lotfi Zadeh
University of Berkeley, USA
Director, Berkeley Initiative in Soft Computing (BISC)
[email protected]
http://www.cs.berkeley.edu/~zadeh
Plenary Lecture 1:
Situation Awareness for Intelligence Analysis and Security Decisions
Prof. Ronald R. Yager
Director, Machine Intelligence Insitute
Professor, Information Systems
Iona College, New Rochelle, NY 10801, USA
[email protected]
http://www.panix.com/~yager/HP/rry.html
ABSTRACT
Situation awareness has become more
and more important as security systems move from being reactive to being
proactive. Here
we shall discuss some methods from
fuzzy logic and other soft computing disciplines which enable the construction
of the
intelligent systems for situation awareness.
Plenary Lecture 2:
Hierarchical Bayesian Optimization Algorithm
Dr. Martin Pelikan
UMSL, USA
[email protected]
http://www.cs.umsl.edu/~pelikan/
ABSTRACT
A black-box
optimization problem may be defined by the set of all potential solutions and a
procedure for evaluating competing solutions.
The separation of problem specifics from an optimizer enables a straightforward
formulation of many different real-world problems within
this framework. That is why the design of robust and scalable black-box
optimization techniques has become one of the most important challenges in
computational optimization. This talk focuses on an advanced black-box
optimization algorithm called the hierarchical Bayesian optimization algorithm (hBOA),
which derives inspiration from evolutionary computation and machine learning.
The talk motivates the algorithm, describes its basic procedure, and presents
interesting results of its application to challenging real-world problems. The
talk also lists important directions for future research in this area.
Session: Neural Networks in Identification and Control
Generalized predictive control with adaptive model based on neural networks
By Petr Pivonka, Petr Nepevný [496-287]
Platform independent neural semi-Inverse controller
By Petr Pivonka, Michal Schmidt [496-289]
Adaptive controller with identification based on neural network for systems with rapid sampling rates
By Václav Veleba, Petr Pivonka [496-291]
An
Algorithm for Saving the Memory Utilization in the 1-D Cerebellar Model
Controller
By Wang Chiang and
Cheng-Chih Chien [496-110]
Tracking
of moving targets in video sequences
By
Marco Benvenuti,
Sara Colantonio,
Maria Grazia Di Bono,
Gabriele Pieri, Ovidio
Salvetti [496-257]
Reduced Neural Network Models for Dynamical Systems
By Said Aoughellanet, Tayeb Mohammedi, Youcef Bouterfa [496-195]
Neural Network based Three Axis Satellite Attitude Control using only Magnetic Torquers
By N. Sivaprakash, J. Shanmugam [496-148]
Using
neural networks to establish the structural controllability and observability
By
R. Pereira, J.C. Quadrado [496-JCQ3]
Session: Hybrid and Knowledge-Based Networks
HLS :
Hybrid Learning System
By Jihane Boulahia-Smirani and Laurent Bougrain [496-275]
Initialized
RHPNN for fault detection in MEMS
By R. Asgary and K.
Mohammadi [496-144]
Neural
Networks Trained with the EEM Algorithm: Tuning the Smoothing Parameter
By Jorge Santos, Joaquim Marques de Sá and Luís Alexandre [496-159]
FRIDAY, JUNE 17, 2005
Session: Applications in Classification and Forecasting
Application
of Genetic Algorithm and Neural Network in Forecasting with Good Data
By Payam Makvandi, Javad Jassbi, Sohrab Khanmohammadi [496-160]
Bayesian
Network Classifiers. An Application to Remote Sensing Image Classification
By Cristina Solares and
Ana María Sanz [496-164]
Pisum
sativum classification based on a methodological approach for pattern
recognition using discriminant analysis and neural networks
By Anna Pérez-Méndez, Ronald Maldonado-Rodriguez, Elizabeth Torres-Rivas,
Francklin Rivas-Echeverria [496-184]
Forecasting
Daily Electricity Load Curves
By Rui Coelho, António Rodrigues [496-JCQ5]
An
Artificial Neural Network Approach for Day-Ahead Electricity Prices Forecasting
By Joao Catalao, Silvio Mariano, Victor Mendes, Luis Ferreira [496-JCQ2]
The LNFC:
Labeled Neuro-Fuzzy Classifier
By M. Nemissi, H. Seridi, H. Akdag [496-262]
Using
Self-Organizing Networks for Intrusion Detection
By Richard Wasniowski [496-261]
Session: Neural Networks and Applications II
On the
definition of functioning conditions of a mechanical system by means orthogonal
processing
By Vincenzo Niola, Antonio Donnarumma, Giuseppe Quaremba [496-177]
The objects
location from images binarized by means of self-learning neural network
By Vincenzo Niola,
Giuseppe Quaremba,Sergio Savino [496-176]
Pattern
recognition and feature extraction: a comparative study
By Vincenzo Niola,
Giuseppe Quaremba [496-175]
Neural
Networks in Damage Detection of Composite Laminated Plates
By L. Roseiro, U. Ramos, R. Leal [496-V1]
Design of
the Models of Neural Networks and the Takagi-Sugeno Fuzzy Inference System for
Prediction of the Gross Domestic Product Development
By Vladimir Olej [496-244]
Dynamics
and Travelling Waves in CNN Vector-Disease Model
By Angela Slavova [496-229]
Wind Speed
Prediction using Artificial Neural Networks
By
P. M. Fonte, Goncalo Xufre Silva, J. C. Quadrado [496-JCQ4]
Session: Neural Networks and Applications III
Combination Methods for Ensembles of RBF Networks
By Carlos Hernandez-Espinosa, Joaquin Torres-Sospedra, Mercedes
Fernandez-Redondo
[496-151]
Combination
Methods for Ensembles of Multilayer Feddforward
By joaquin Torres-Sospedra, Mercedes Fernandez-Redondo, Carlos
Hernandez-Espinosa [496-150]
Ensembles
of Multilayer Feedforward: A New Comparison
By Joaquin Torres-Sospedra, Carlos Hernandez-Espinosa, Mercedes
Fernandez-Redondo [496-152]
Worm
Detection and Auto-Signature Extraction in Large Scale Network
By Xin Yi, Fangbingxing, Yunxiaochun [496-295]
Hopfield
networks with jump Markov parameters
By A. -M. Stoica and I. Yaesh
[496-136]
SATURDAY, JUNE 18,
2005
Session: Neural Networks and Applications IV
Variable
Selection and Prediction of Rainfall from WSR-88D Radar Using Support Vector
Regression
By Budi Santosa, Michael B. Richman,Theodore B. Trafalis [496-207]
Detection
of TCP Attacks Using SOM with Fast Nearest-Neighbor Search
By Jun Zheng, Mingzeng Hu [496-276]
Using Multi
Layer Perceptron Network to Classify Road Cracks
By Heydar Toossian Shandiz, Hosein Ghasemzadeh Tehrani, Hadi Hadizadeh [496-252]
A Parallel
Algorithm of Boltzmann machine with Rejectionless Method
By H. Zhu, K. Eguchi, H. Kai, N. Sun, T. Tabata [496-246]
"El-Dorra"
Neuronal Network Technology, Remind and Optimization
By Omari Abdallah [496-230]
Least
Square Multi-classification Support Vector Machines: Pair-wise (PALS-MSVM) &
Piece-wise (PILS-SVM) formulations
By Olutayo Oladunni and Theodore B. Trafalis [496-227]
Pairwise
multi-classification support vector machines: quadratic programming (qp-pamsvm)
formulations
By Theodore B. Trafalis and Oluatayo Oladunni [496-222]
Neural
network path planning applied to PUMA560 arm
By Said Aoughellanet, Tayeb Mohammedi, Youcef Bouterfa [496-194]
Session: Neural Networks Theory
A comparison
between linear and nonlinear principal component analysis using neural networks
and a novel technique for face recognition
By Aryan Salmanpour , Said Ali Saiedsalehi [496-203]
Modeling of
Spatial Navigation Inspired by Rodent Hippocampus
By Michal Bures, Marcel Jirina [496-202]
Intelligent
Model-Following Position Control for PMSM Servo Drives
By Fayez F. M. El-Sousy [496-200]
Medical
training simulation system to assist novice physicians in diagnostic problem
solving
By Leila Weitzel Martins, Joaquim Teixeira de Assis, André Soares Monat
[496-186]
A Methodological Approach for Pattern Recognition System using discriminant analysis and artificial neural networks By Anna Perez-Mendez, Elizabeth Torres-Rivas, Francklin Rivas-Echeverria, Ronald Maldonado-Rodriguez [496-183]
Analysis of
the results of lotteries using statistical methods and artificial neural
networks
By Arturo Hernandez, Evelenir Barreto, Francklin Rivas, Felipe Pachano [496-181]
VLSI
Implementation of CSFN Neural Network for Pattern Recognition Application
By Hamed Farshbaf and Hadi Esmaelzadeh [496-196]
Design of a
Robust and Adaptive Sensorless Speed Controller for Induction Motor Drives Using
General regression Neural Network Based Fuzzy Approach
By Farzan Rashidi [496-188]
Session:
Neural Networks and Applications
Delayless
Harmonic Filter for Single Phase Inverter Using Neural Network
By G. Elumalai, P. N. Neelakantan, K. Thanushkodi [496-297]
A fault
tolerant connectionist model for predicate logic reasoning, variable binding:
using coarse-coded distributed representations
By Sriram .G. Sanjeevi, Pushpak Bhattacharya [496-157]
Non-Derivative
Optimization using Neural Network Model Based Predictive Control
By P. Aadaleesan, K. Ramkumar, S.Nithya, S. M. GiriRajkumar [496-190]