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中文摘要：
通过在OIF Elman（Output．Input Feedback Elman）神经网络模型中引入惩罚收益因素，提出了一种基于OIF Elman神经网络的改进模型。并将其用于大气质量的预测和评价。实验模拟结果证明，引入惩罚收益因素OIF Elman模型能够明显提高网络的预测精度，具有极佳的逼近性能，所得预测数据和评价结果与实际结果基本吻合。利用该模型对大气质量进行预测和评价是可行而有效的，具有较好的应用潜能；并为大气环境整治规划提供了一种新的技术和方法。
英文摘要：
The improved OIF Elman neural network was proposed to assess and forecast the atmospheric quality by introducing the direction profit factor to the OIF Elman neural network, Simulations show that the proposed model can obviously improve the prediction precision of OIF Elman neural network and it has the character of the better approach performance, Therefore the improved model is feasible and effective, which has greatly potential in the field of forecasting and assessment the atmospheric quality. The improved OIF Elman neural network developed can provide a novel technology and effective method for environmental renovating.
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