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作 者 ：陈莉,朱卫东

期 刊 ：生态学报 2008年 28卷 3期 页码：1072~1079

关键词：环境评价；微粒群优化；神经网络；仿真；

Keywords:environmental evaluation, particle swarm optimization, Neural network, emulation,

摘 要 ：农业项目环境影响综合评价是目前新的研究领域，随着农业项目的增加，其环境影响的研究愈来愈重要。以某农业项目为例，运用PSO-BP进行农业项目环境评价;仿真和实验表明：微粒群优化神经网络，能够克服神经网络收敛速度慢,陷入局部最小的缺点；微粒群优化算法涉及的参数不多，但是微粒群优化结果是比较理想的。

Abstract:The environmental effect evaluation of agricultural projects is current a new research field. With the increase of projects, the study of environmental effect appears more and more important. We applied PSO-BP to evaluate the environmental effect of an agricultural project. Emulation and experiment show that the method of neural network algorithm trained by particle swarm optimization has overcome its disadvantage of slow convergent speed and shortcoming of local optimum. Particle swarm optimization needs only a few parameters and is a simple, while the result is pretty good.

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