Engineering applications of neural networks

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A glance at the table of contents of EANN 2009 reveals a wide range of neural network applications. Examples include urban concentration reduction, entropy topography in epileptic electroencephalography, phytoplanktonic species recognition, childhood abdominal pain data analysis, robot control, emotion recognition in facial expressions, flood forecasting, and creditworthiness assessment. This diversity highlights the vitality of neural computing and soft computing approaches in addressing contemporary technological challenges. The event fosters collaboration among delegates worldwide, promoting the exchange of related methods. The proceedings showcase various methods, including support vector machines, fuzzy reasoning, Bayesian methods, snap-drift, and spiking neurons. This year, EANN accepted around 40% of submitted papers for full-length presentation, with high submission standards noted by the reviewers. The Program and Organizing Committees express gratitude to the reviewers for their efforts. Approximately 20% of the best submissions will be selected for extended review and potential inclusion in a special issue of the journal Neural Computing and Applications. It is hoped that these proceedings will stimulate further research and development in neural computing applications.