Applications of soft computing: updating the state of art
Avineri, E.
Köppen, M.
Dahal, K.
Sunitiyoso, Y.
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truthin order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. Contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in IndustrialApplications, held in October 2007 INDICE: Part I Design of Soft Computing Techniques.- Part II Modelling, Control and Optimization.- Part III Signal Processing and Pattern Recognition.- Part IV Civil Engineering.- Part V Computer Graphics, Imaging and Vision.- Part VI Production, Manufacturing, and Design.- Part VII Traffic and Transportation Systems.
- ISBN: 978-3-540-88078-3
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 285
- Fecha Publicación: 01/01/2009
- Nº Volúmenes: 1
- Idioma: Inglés