基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来，国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入，研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue