摘要
针对大气污染判别问题的复杂性,提出了一种基于粗糙集的BP神经网络模型。该模型利用粗糙集理论约简气象影响因素,提取关键因素作为网络的输入,简化了网络结构。实例验证,粗糙神经网络模型为大气污染判别研究提供了一种有效可行的算法。
For a complicated discrimination of air pollution, a new model of BP Networks is proposed based on Rough Set. This model was applied to. reduce factors of weather, withdraw essential ingredient as the input of the network, and simplify network structure. The application example showed that the rough neural network is an efficient and feasible algorithm to discrimination of air pollution.
出处
《科学技术与工程》
2007年第17期4545-4547,共3页
Science Technology and Engineering
