基于BP神经网络的渤海污染预测——以莱州湾为例

Pollution Prediction of Bohai Sea Basing on the BP Neural Network: Taking Example of Laizhou Bay

近年来渤海水质污染问题已引起国内外的广泛关注,而不同水质级别海域的面积变化有较大差别。文章运用人工神经网络理论和方法,通过构建三层BP网络的预测模型,以渤海的莱州湾为例,对海水水质污染变化趋势进行实证分析。

In recent years, more attractions have been taken to the seawater pollution of Bohai Sea, the area of different level of seawater changes great differently. This paper using the artificial neural network theory and method, taking example of Laizhou bay in Bohai Sea, basing on three layers of BP network prediction model, predicted seawater quality.