GNNM(1,n)的代码。利用神经网络求取GM(1,N)的系数，预测效果良好-GNNM (1, n) code. The use of neural network to strike a GM (1, N) of the coefficients to predict good results

gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好。-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecast, but they were not short of good.

中长期电力负荷预测matlab程序，包括线性模型，指数模型，对数模型，双曲线模型，S型曲线模型，多项式模型，灰色模型GM(1,1)，指数平滑模型等-Medium and long term power load forecasting matlab procedures, including linear model, exponential model, logarithmic model, hyperbolic model, S-curve model, polynomial model,

灰色动态预测源代码预测水资源。灰色动态模型群模型 是改进的灰色预测模型，可以克服不稳定信息带来的 不良影响利用不同时段数据建立不同的灰色 GM(1,1)模型来构造灰色预测模型 群，分别对未来时刻的各项预测值进行统计计算，并将统计平均值作为预测值， 进一步提高了预测的精度和预测结果的可靠度。-The gray dynamical prediction prediction source of water. Grey dynamic model group model is an i