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ICNC-FSKD 2026: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

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ICNC-FSKD
截稿日期:
2026-06-10 Extended
通知日期:
2026-07-10
会议日期:
2026-07-25
会议地点:
Taiyuan, China
届数:
22
QUALIS: B2   浏览: 77611   关注: 55   参加: 31

征稿

ICNC-FSKD 2026 (International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery) is a QUALIS B2 conference held in Taiyuan, China on 2026-07-25. The paper submission deadline is 2026-06-10 (extended). Acceptance notifications are sent on 2026-07-10.

Topics Submissions of papers describing original work in, but not limited to, the following topics are enthusiastically encouraged. Neural Computation - Deep Learning; Recurrent Neural Networks Support Vector Machines and Statistical Neural Network Models; Unsupervised and Semi-supervised Learning Neural Networks. Evolutionary Computation - Genetic and Evolutionary Algorithms; Particle Swarm Optimization and Ant Colony Optimization; Multi-Objective Optimization; Artificial Life and Artificial Immune Systems; Intelligent Agents; Quantum Computing; Molecular, DNA, Membrane, and Cultural Computing. Fuzzy Theory and Algorithms - Fuzzy theory and models; Rough Set; Granular Computation; Uncertainty Management Natural Computation Applications - Data analysis; Image, speech and signal processing; Vision and multimedia; Control and robotics, Decision and support. Knowledge Discovery Foundations- Association Rules; Classification; Clustering; Privacy Preserving Data Mining; Statistical Methods for Data Mining; Parallel/Distributed Data Mining; Knowledge Management; Machine Learning and Artificial Intelligence. Knowledge Discovery in Specific Domains - Big data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Bioinformatics, Financial engineering. Information Technology for Knowledge Discovery - Data engineering; Signal processing and multimedia; Communications and networking; Software engineering; Automation, robotics, and control; Distributed systems and computer hardware.
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