Application of variable-order fractional calculus in neural networks: where do we stand?
Department of Mechanical and Aerospace Engineering, University of California, 92697, Irvine, CA, USA
2 Department of Mechanical Engineering, University of Manitoba, R3T 5V6, Winnipeg, Canada
3 Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
After decades of evolution and advancement, artificial intelligence has profoundly affected all fields of science and engineering, and has started to revolutionize all aspects of today's life. In this regard, neural networks, which are a stepping stone in the search for artificial intelligence, play an important role. Motivated by this, the current special issue aims to explore recent trends and developments in the modeling, analysis, synchronization, and practical application of chaotic variable-order fractional neural networks.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022