Neural Network World

Neural Network World is a bimonthly journal providing the latest developments in the field of informatics.

NNW homepage image

The journal devotes its attention dominantly 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
Neural Network World is published in 6 issues per annum by Czech Technical University in Prague, Faculty of Transportation Sciences.



Editorial: Announcement of charge imposition

For manuscripts submitted after 2016/01/01, a new rule is coming into effect, namely an imposition of a charge on all published manuscripts. More information can be found below.  
Posted: 2015-12-16 More...
More Announcements...

Vol 28, No 2 (2018)

Table of Contents


Feng Li, Jacek M. Zurada, Wei Wu
Mehmet Ali Çavuşlu, Suhap Şahin
Pavel Stefanovič, Olga Kurasova
Vladimír Hlaváč
Jipan Huang, Xin'an Wang, Yong Zhao, Chen Xin, Han Xiang
Martin Růžek