Enhanced Northern Goshawk Optimization–Elman neural network-based tire-road friction coefficient estimation for vehicle ABS control
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on July 22, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
The instability of weight updates in conventional Elman neural networks (ENNs) compromises the accuracy of tire-road friction coefficient estimation. To overcome this limitation, an enhanced Northern Goshawk Optimization (NGO)–ENN framework is proposed ...
The instability of weight updates in conventional Elman neural networks (ENNs) compromises the accuracy of tire-road friction coefficient estimation. To overcome this limitation, an enhanced Northern Goshawk Optimization (NGO)–ENN framework is proposed ...