To determine the optimal operational methods for pilots during probe-and-drogue aerial refueling, this study established a relationship between receiver aircraft operations and hose whip using a neural network based on flight test data. Six characteristic parameters representing receiver aircraft operations were analyzed for their influence factors during the refueling process. The entropy weight method was applied to synchronously analyze these parameters, yielding conclusions consistent with the neural network approach, thereby validating the scientific rigor of the neural network analysis. A quantitative method for describing hose whip was proposed, and the optimal operational intervals for pilots during aerial refueling were derived using the trained neural network. These findings can guide flight tests and pilot training for aerial refueling operations.