Characteristic

Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of:

• brain science,
• theory and applications of neural networks (both artificial and natural),
• fuzzy-neural systems,
• methods and applications of evolutionary algorithms,
• methods of parallel and mass-parallel computing,
• problems of soft-computing,
• methods of artificial intelligence.

All manuscripts are subjected to peer-reviews by at least two independent reviewers.

Neural Network World is published in 6 issues per annum by Czech Technical University in Prague, Faculty of Transportation Sciences in co-operation with Technical University in Ostrava, Faculty of Electrical Engineering and Computer Science and Institute of Computer Science - Academy of Sciences of the Czech Republic.