我国民航飞行员需求的遗传神经网络预测研究

【摘要】 伴随着中国民航事业的飞速发展,我国民航飞行员的需求规模也开始同步扩大。由于民航飞行员需求预测具有复杂性和非线性的特征,采用神经网络预测方法,并针对神经网络易陷入局部极值的缺陷,采用遗传算法对其进行优化,构造了遗传神经网络算法对其进行预测分析。利用我国民航飞行员需求的实例验证了算法的有效性,为我国飞行员培养提供理论依据。更多还原

【Abstract】 With the rapid development of civil aviation in china, the needs of aviator expand accordingly. The prediction of aviator needs is complexity and nonlinear. Aiming at the drawback in classical artificial networks and combining with generic algorithm, a genetic artificial network prediction model is put forward in this paper. The model achieves satisfactory results in the prediction of aviator needs, we hope to provide theoretical basis for aviator training in civil aviation.更多还原