Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …

The hallmark of fractional-order derivatives is a memory kernel to describe real-world
phenomena with a better approximation than classical calculus. In fractional-order chaotic …

Due to the synapse-like nonlinearity and memory characteristics, memristor is often used to
construct memristive neural networks with complex dynamical behaviors. However …

Calcium is a vital element in our body and plays a crucial role to moderate the calcium
signalling process. Calcium-dependent protein and flux through the sodium-calcium …

In this study, a novel heuristic computing technique is presented to solve bioinformatics
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …

Human evolution is divided into two parts, the evolution of DNA-dominated human body and
the evolution of brain-dominated human behavior. Therefore, the study of brain function …

The neural network activation functions enable neural networks to have stronger fitting
abilities and richer dynamical behaviors. In this paper, an improved fractional-order discrete …

Fractional-order discrete-time neural networks represent a class of discrete systems
described by non-integer order difference operators. Even though the stability of these …

In this paper, a fractional neural integral sliding-mode controller based on the Caputo-
Fabrizio derivative and Riemann–Liouville integral for a robot manipulator mounted on a …

In this paper, a new two-dimensional fractional-order discrete rational map with γth-Caputo
fractional difference operator is introduced. The study of the presence and stability of the …