Fig. 2

Architecture of the proposed BELBFM model, illustrating the five main components: Sensory input (SI), Thalamus (TH), Sensory cortex (SC), Amygdala (AMIG), and Orbitofrontal cortex (OFC). Each component is designed to process and integrate input data for wind speed prediction at multiple altitudes by utilizing both basic and functional memories. This architecture leverages emotional learning mechanisms to enhance prediction accuracy and adaptability.