Neural Network World

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.

《神经网络世界》是一本双月刊，提供了信息学领域的最新进展。该杂志主要关注以下问题：脑科学，神经网络理论与应用（人工与自然），模糊神经系统，进化算法的方法和应用，并行和大规模并行计算方法，软计算问题，人工智能方法。神经网络世界每年由布拉格捷克技术大学交通科学学院出版6期。