利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples

物探中基于BP神经网络模型煤层含气量预测-In the geophysical prospecting based on BP neural network model to predict coal bed gas content

以某光伏电站实测数据为比较对象用拟牛顿法小波神经网络建立光伏发电系统短期功率预测模型。-Based on the measured data of a PV power plant, the short- term power prediction model of photovoltaic power generation system is established by using quasi- Newton method wavelet neural network.