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Bio-Inspired Systems: Computational and Ambient Intelligence
This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence....
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009. The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.
Modelling, Monitoring and Management of Forest Fires II
As in the past, future forest fire scenarios are impacted by climatic trends and changes in climatic extremes, as well as by anthropic pressure. It is to be expected that future trends, especially in the Mediterranean regions, will certainly lead to an increasing impact of human pressure on the natural environment, due to increases in tourism and to the enlargement of urban residential areas invading the countryside. Forecasting the effects of both factors (climatic and anthropic) and separating their effects on forest fires frequencies may be particularly difficult, but is essential to improve our knowledge of forest fire occurrence probability and to better organize prevention and fighting...
