关键词: 灰色Verhulst模型, BP神经网络, 组合预测模型, 部分数据Verhulst模型组

Abstract: Based on the grey Verhulst model and BP-neural network theory，this paper studies the combination of them，puts forward the partial-data Verhulst model group and proposes a kind of gray Verhulst-BP neural network combined forecasting model.In this paper，BP-neural network is utilized to build up the nonlinear mapping between partial-data Verhulst model group and original data，and the defects of the neural networking training with small sample of time series data are overcome.The experiment results show that the combined forecasting model is valid，high precision and good stability.

Key words: grey Verhulst model, BP-neural network, combined forecasting model, partial-data Verhulst model group