《Evolving Systems》雜志的最新年發(fā)文量為74篇。
這表明該刊在每年都會精選并發(fā)表一定數(shù)量的高質量文章，以保持其在計算機：人工智能領域的學術影響力。
該刊聚焦于計算機科學-計算機：人工智能領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發(fā)表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 。
Evolving Systems 雜志發(fā)文統(tǒng)計
文章名稱引用次數(shù)
- Discussion and review on evolving data streams and concept drift adapting21
- Neutrosophic soft set decision making for stock trending analysis15
- Fuzzy and neutrosophic modeling for link prediction in social networks13
- Designing multi-layer quantum neural network controller for chaos control of rod-type plasma torch system using improved particle swarm optimization8
- Density-based clustering of big probabilistic graphs6
- ACFLN: artificial chemical functional link network for prediction of stock market index5
- Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier5
- Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data4
- Vessel traffic flow analysis and prediction by an improved PSO-BP mechanism based on AIS data4
- Infinite impulse response systems modeling by artificial intelligent optimization methods3
國家/地區(qū)發(fā)文量
- Greece39
- India28
- Iran17
- Algeria12
- USA8
- GERMANY (FED REP GER)7
- Brazil6
- England6
- France6
- Scotland6
