In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Abstract: This paper explores the sliding mode synchronization issue in a fractional-order quaternion-valued Takagi-Sugeno fuzzy neural network model with parametric uncertainty using a ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern medicine. Current mathematical models are usually deterministic; that is, they ...

Abstract: The resource intensity of fuzzy neural networks (FNNs) may hinder their ubiquity, particularly in resource-constrained hardware platforms such as edge devices in Internet of Things (IoT) ...