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...
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Vol 28, No 3 (2018)

Table of Contents


Ahmet Kayabasi, Abdurrahim Toktas, Kadir Sabanci, Enes Yigit
Zhongda Tian, Gang Wang, Yi Ren, Shujiang Li, Yanhong Wang
Hojat Nabovati, HASSAN HALEH, Behnam vahdani
Zdeněk Votruba, Petr Moos, Miroslav Svítek, Mirko Novak
Lukáš Zaorálek