A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
Accurate prediction of stock market behavior is a challenging issue for financial forecasting.
Artificial neural networks, such as multilayer perceptron have been established as better …
Artificial neural networks, such as multilayer perceptron have been established as better …
Transferability of Multi-Objective Neuro-Fuzzy Motion Controllers: Towards Cautious and Courageous Motion Behaviors in Rugged Terrains
A Salih, J Gabbay, A Moshaiov - Mathematics, 2024 - mdpi.com
This study is motivated by the need to develop generic neuro-fuzzy motion controllers for
autonomous vehicles that may traverse rugged terrains. Three types of target problems are …
autonomous vehicles that may traverse rugged terrains. Three types of target problems are …
Neuroevolved controller for an omnidirectional mobile robot
RMM Domingos, C Vinhal… - 2018 IEEE Latin American …, 2018 - ieeexplore.ieee.org
This paper proposes a hierarchical control architecture to deal with the Trajectory Tracking
Problem while an autonomous omnidirectional wheeled mobile robot operates. A traditional …
Problem while an autonomous omnidirectional wheeled mobile robot operates. A traditional …
Influential Article Review-Unique Methods on predicting stock closing price
R Bryant, J Burks, A Rose - Journal of Accounting and Finance, 2019 - articlearchives.co
This paper examines finance. We present insights from a highly influential paper. Here are
the highlights from this paper: Accurate prediction of stock market behavior is a challenging …
the highlights from this paper: Accurate prediction of stock market behavior is a challenging …