2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

ICNC-FSKD 2020


Artificial Intelligence



https://icnc-fskd.sust.edu.cn/call_for_papers.pdf
The 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020) will be held from 1-3 August 2020 in Xi'an, China. An ancient imperial capital of 13 dynasties and eastern departure point of the Silk Road, Xi’an has long been an important historical city in China. Famous attractions in Xi'an include terracotta worriors in the Mausoleum of the First Qin Emperor (a UNESCO World Heritage Site), Giant Wild Goose Pagoda, Fortifications of Xi'an (Ancient City Wall), Huaqing Palace, and Stele Forest. In modern times, Xi'an is an important cultural, industrial and educational center in central and western China, well-known for its universities, R & D facilities, as well as China's space exploration.
As with the past ICNC-FSKD conferences, all papers in conference proceedings will be submitted to EI Compendex, SCOPUS, and ISTP (ISI Proceedings) (All previous ICNC-FSKD conferences from 2005 to 2018 have been indexed in EI Compendex). Some registered conference papers will be invited to submit extended versions to SCI-indexed journal special issues, including Remote Sensing (Impact Factor: 4.470) , Applied Soft Computing (Impact Factor 4.873) and Theoretical Computer Science – C (Theory of Natural Computing). ICNC-FSKD 2020 proceedings will be published by Springer (pending).
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. This 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.
If you have any questions about submission, please send an email to
icnc-fskd@sust.edu.cn
Mobile phone: 18682928648
Topics of interest:
Machine Learning and Artificial Intelligence
Neuromorphic Computing
Affective Computing
Deep Learning
Support Vector Machines and Statistical Neural Network Models
Principal and Independent Component Analysis
Neurodynamics and Neuro-Biological Systems
Other Theoretical Topics in Neural Computation
Genetic and Evolutionary Algorithms
Particle Swarm Optimization and Ant Colony Optimization
Multi-Objective Optimization
Artificial Life and Artificial Immune Systems
Nonlinear Phenomena, Chaos, Complex Networks and Systems
Intelligent Agents
Image Processing
Image Understanding
Signal Processing and Multimedia
Communications and Networking
Quantum Computing
Molecular and DNA Computing
Membrane Computing and Cultural Algorithms
Bio-Inspired Circuits and Systems, Silicon Cochlear, Retina and Neural Prosthetics
Other Topics in Natural Computation Theory and Algorithms
Natural Computation in Pattern Recognition and Diagnostics
Natural Computation in Robotics and Control
Natural Computation in Signal Processing and Multimedia
Other Natural Computation Applications
Fuzzy Theory and Models
Rough Set
Software Engineering
Automation, Robotics, and Control
Distributed Systems and Computer Hardware
Computer Applications
Other Topics in Information Technology for Knowledge Discovery