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.

Announcements

 

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 3 (2018)

Table of Contents

Articles

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