Neural Network World is a bimonthly journal providing the latest developments in the field of informatics.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 intelligenceNeural Network World is published in 6 issues per annum by Czech Technical University in Prague, Faculty of Transportation Sciences.

《神經網絡世界》是一本雙月刊，提供了信息學領域的最新進展。該雜志主要關注以下問題：腦科學，神經網絡理論與應用（人工與自然），模糊神經系統，進化算法的方法和應用，并行和大規模并行計算方法，軟計算問題，人工智能方法。神經網絡世界每年由布拉格捷克技術大學交通科學學院出版6期。