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| 微粒群优化神经网络及其在环境评价中的运用 | |
| 引用本文： | 陈莉,朱卫东. 微粒群优化神经网络及其在环境评价中的运用[J]. 生态学报, 2008, 28(3): 1072-1079 |
| 作者姓名： | 陈莉 朱卫东 |
| 作者单位： | 1. 安徽建筑工业学院,合肥,230022;合肥工业大学,合肥,230009 2. 合肥工业大学,合肥,230009 |
| 基金项目： | 国家自然科学专项基金 , 安徽教育厅自然科学基金 |
| 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. |
| 关 键 词： | 环境评价 微粒群优化 神经网络 仿真 environmental evaluation particle swarm optimization Neural network emulation 微粒群 优化神经网络 环境评价 运用 particle swarm optimization neural network algorithm result pretty good Particle needs parameters simple Emulation experiment show method of slow convergent speed |
| 文章编号： | 1000-0933(2008)03-1072-08 |
| 收稿时间： | 2007-04-13 |
| 修稿时间： | 2007-04-13 |
The enviromental quality assessment of neural network algorithm trained by particle swarm optimization |
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| CHEN Li and ZHU Weidong. The enviromental quality assessment of neural network algorithm trained by particle swarm optimization [J]. Acta Ecologica Sinica, 2008, 28(3): 1072-1079 |
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| Authors: | CHEN Li and ZHU Weidong |
| Affiliation: | 1 Anhui Institute of Architectural and Industry, Hefei 230022, China 2 Hefei University of Technology, Hefei 230009, China |
| 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. |
| Keywords: | environmental evaluation particle swarm optimization Neural network emulation |
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