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| 复杂生态系统稳定性的补偿模糊神经网络建模 | |
| 引用本文： | 温芝元,曹乐平. 复杂生态系统稳定性的补偿模糊神经网络建模[J]. 生物数学学报, 2008, 23(4): 721-726 |
| 作者姓名： | 温芝元 曹乐平 |
| 作者单位： | 1. 湖南农业大学,理学院,湖南,长沙,410128 2. 湖南生物机电职业技术学院,湖南,长沙,410127 |
| 基金项目： | 湖南农业大学基础科学研究基金 |
| 摘 要： | 以环境因素、植物功能群、植食动物功能群、捕食动物功能群和分解者功能群为5组输入。建立实现模糊参数自动调整和补偿模糊推理的复杂生态系统稳定性的补偿模糊神经网络模型，评价复杂生态系统的稳定性，通过计算机仿真，验证了所提出的方法具有学习效率高、评价精确度高、泛化能力强的优点． |
| 关 键 词： | 复杂生态系统 稳定性 功能群 补偿模糊推理 神经网络 |
The Compensating Fuzzy Neural Network Modeling of the Complex Ecosystem Stability |
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| WEN Zhi-yuan,CAO Le-ping. The Compensating Fuzzy Neural Network Modeling of the Complex Ecosystem Stability[J]. Journal of Biomathematics, 2008, 23(4): 721-726 | |
| Authors: | WEN Zhi-yuan CAO Le-ping |
| Affiliation: | WEN Zhi-yuan, CAO Le-ping, (1 College of Science, Hunan Agricultural University, Changsha Hunan 410128 China; 2 Engineering Department of Modern Management, Hunan Biological and Electromechanical Polytechnic, Changsha Hunan410127 China) |
| Abstract: | By inputting the five groups： the environmental factor, plant function group, the vegetarian animal function group, the carnivorous animal function group and the disintegrator function group, this research establishes the complex fuzzy neural network modeling of the complex ecosystem stability with artistic fuzzy parameter automatic control, it also appraises the stability of the complex ecosystem. Through computer simulation, it has confirmed the method which proposes to have the advantages of high study efficiency, high appraised precision and strong popularization ability. |
| Keywords: | Complex ecosystem Stability Function group Compensating fuzzy inference Neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |