Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

by Bernadete Ribeiro (Editor), Rudolf F. Albrecht (Editor), Andrej Dobnikar (Editor), David W. Pearson (Editor), Nigel C. Steele (Editor)

Overview

The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.

Product Details

ISBN-13:	9783211249345
Publisher:	Springer Vienna
Publication date:	05/03/2005
Series:	Springer Computer Science Series
Edition description:	2005
Pages:	545
Product dimensions:	0.00(w) x 0.00(h) x 0.03(d)

Table of Contents

From the contents: Neural Networks: Neural Networks Theory; Learning Theory; Computational Neuroscience and Neurodynamics; Neural Networks in Process Engineering; Neural Networks in Robotics and Control; Clustering and Unsupervised Learning; Self-Organising Maps.- Evolutionary Computation: Evolutionary Computation; Genetic Algorithms Theory; Complex Systems and Genetic Programming; Swarm Optimization; Molecular and Quantum Computing.- Adaptive and Natural Computing: BioInformatics and Computational Biology; Adaptive Technology in AI, Natural Computing.- Soft Computing Applications: Machine Learning and Heuristics; Feature Selection and Kernel Methods, Computer Security.- Computer Vision and Pattern Recognition: Computer Vision and Image Processing; Signal Processing and Pattern Recognition.- Hybrid Methods and Tools: Hybrid Intelligent Systems; High Performance and Parallel Computing Tools