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ICNC-FSKD 2026 : 22nd International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

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Link: http://icnc-fskd.net/
 
When Jul 25, 2026 - Jul 27, 2026
Where Taiyuan, Shanxi, China
Submission Deadline Jun 10, 2026
Notification Due Jul 10, 2026
Final Version Due Jul 20, 2026
Categories    data mining   computational intelligence   neural networks   knowledge discovery
 

Call For Papers

The 2026 22th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2026) will be held from 25-27 July 2026 in Taiyuan, China. Taiyuan, the capital city of Shanxi Province, is a historic yet rapidly developing metropolis in northern China. With a history spanning more than 2,500 years, Taiyuan offers a distinctive blend of ancient heritage and modern urban infrastructure, making it an attractive host city for international academic exchange. One of the city’s most recognizable landmarks is the Twin Pagoda Temple (Yongzuo Temple), a symbol of Taiyuan’s historical depth and architectural legacy. Beyond the city itself, Shanxi Province is renowned for its rich cultural heritage and is home to three UNESCO World Heritage Sites: the Yungang Grottoes, celebrated for their monumental 5th-century Buddhist cave art; Mount Wutai, one of the Four Sacred Buddhist Mountains of China; and the Ancient City of Pingyao, a remarkably well-preserved example of a traditional Han Chinese city.

As with the past ICNC-FSKD conferences, all papers in conference proceedings will be submitted to EI Compendex, Scopus, and ISTP (ISI Proceedings). ICNC-FSKD 2005-2025 have all been indexed in EI Compendex.

ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. dis is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. The registration fee includes proceedings, lunches, dinners, banquet, coffee breaks, and all technical sessions.

Prospective authors are invited to submit manuscripts written in English. All submissions will be peer-reviewed by experts in the field based on originality, significance, quality and clarity. Authors should use the Latex style files or MS-Word templates obtained from the conference site to format their papers. Authors should submit PDF files of their manuscripts via the online submission system. Submissions imply that the papers have not been submitted elsewhere and will not be submitted elsewhere for publications before the review decisions of this conference.

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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