Neurocomputing

杂志介绍

Neurocomputing杂志介绍

《Neurocomputing》是一本以English为主的未开放获取国际优秀期刊，中文名称神经计算，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为5.5，最新CiteScore 指数为13.1。

本刊近期中国学者发表的论文主要有：

• LabanFormer: Multi-scale graph attention network and transformer with gated recurrent positional encoding for labanotation generation

  Author: Li, Min; Miao, Zhenjiang; Lu, Yuanyao

• Minimum spanning tree brain network topology reflects individual differences in the structure of affective experience q

  Author: Liu, Hanjie; Cao, Jinde; Zhang, Jinren; Ragulskis, Minvydas

• Stability of stochastic Hopfield neural networks driven by G-Brownian motion with time-varying and distributed delays

  Author: Zhang, Fanhong; Fei, Chen; Fei, Weiyin

• A neural harmonic-aware network with gated attentive fusion for singing melody extraction

  Author: Yu, Shuai; Yu, Yi; Sun, Xiaoheng; Li, Wei

英文介绍

Neurocomputing杂志英文介绍

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.