A Workshop on “Nature-Inspired Algorithms and Neural Networks (NIANN2018)”
at EANN2018 (19th Int. Conf. on Engineering Applications of Neural Networks)
Workshop Organizers:
Xing-Shi He (China), Qin-Wei Fan (China), Milan Tuba (Serbia), Xin-She Yang (UK)
Nature-inspired algorithms such as particle swarm optimization and firefly algorithm have become effective and popular in recent years, and they have been applied to optimize design parameters in many nonlinear problems in engineering and industries. These algorithms have also been used to tune and optimize hyperparameters related to artificial neural networks with applications in deep learning and data mining. This workshop intends to provide a timely platform for researchers to exchange ideas and discuss the recent developments in both areas of nature-inspired computation and artificial neural networks so as to enable further developments.
Topics include (but not limited):
• Nature-inspired optimization algorithms
• Swarm intelligence
• Parameter tuning and sensitivity analysis
• hyperparameter optimization
• Neural networks and improvements
• Theoretical analysis, stability and convergence of algorithms and neural networks
• Applications such as networks optimization, combinatorial optimization, engineering designs, image processing and data mining.
Import Dates:
31 March 2018 Paper submission
30 April 2018 Notification of acceptance
31 May 2018 Final version and registration
3-5 September 2018 Conference dates
* How to Submit: *
For more information about the submission guidelines and the information of the workshop, please visit the conference website:
http://www.eann2018.org/index.html
You can submit directly at
https://easychair.org/conferences/?conf=eann2018
* When submitting your paper, please first add a keyword “NIANN2018” in your
manuscript, and then send an email to “x.yang (at) mdx.ac.uk” with your Paper Reference Number after the submission. *
Workshop Organizers:
Xing-Shi He, Xi’an Polytechnic University, China
Qin-Wei Fan, Xi’an Polytechnic University, China
Milan Tuba, State University of Novi Pazar, Serbia
Xin-She Yang, Middlesex University, UK
Contact email: x.yang (at) mdx.ac.uk