[1]FU Qiang,LI Wei-ye,FENG Yan.Evaluating Ecological Carrying Capacity of Wetland Based on Improved Pulse Coupled Neural Network and Fuzzy Algorithm[J].Research of Soil and Water Conservation,2008,15(04):56-59,63.
Copy
Evaluating Ecological Carrying Capacity of Wetland Based on Improved Pulse Coupled Neural Network and Fuzzy Algorithm
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
15
Number of periods:
2008 04
Page number:
56-59,63
Column:
Public date:
2008-08-20
- Title:
- Evaluating Ecological Carrying Capacity of Wetland Based on Improved Pulse Coupled Neural Network and Fuzzy Algorithm
- Keywords:
- Pulse Coupled Neural Networks; multi-objective and fuzzy pattern identified model; wetland; ecological carrying capacity evaluation
- CLC:
- X171.4
- DOI:
- -
- Abstract:
- Pulse Coupled Neural Network (PCNN),called as the third generation of neural network,with the basic characteristics of coupling and pulse output,is widely implemented on image processing and obtained the certain result.In this paper,the PCNN model is improved as follows: the value of link load part equals to the pulse in the last ignition action in order to reflect the relationship between the before and after neural cell directly,dynamic threshold equals to the classification range of ecological carrying capacity evaluation criterion to classify the samples easily and unnecessary parameter is omitted to reduce the complexity of PCNN model.After the combination of PCNN and multi-objective and fuzzy pattern identified model,the new ecological carrying capacity evaluation model is put forward based on fuzzy PCNN.And 13 evaluation indexes were adopted in ecological carrying capacity evaluation criterion and data adjusted through PCNN model of 6 geography zonings in Sanjiang Plain to calculate their degrees of membership relatively.At last,integrative evaluation results of ecological carrying capacity for every geography zoning were obtained.The result shows that most ecological systems of Sanjiang Plain are quite stable and carrying capacity of resources and environments are very high.At the same time,health status of wetland ecological systems is not so good,and the quality of marsh ecological systems is decreasing fast.So wetland ecological systems are required to improve and the utilization efficiency of water resource is also needed to advance.The experiment results show the feasibility of this model in the status evaluation of agriculture water resource utilization,expanding the application areas of PCNN model and providing a new alternative for water resource evaluation.
- References:
-
[1] 邓波, 洪绂曾, 龙瑞军.区域生态承载力量化方法研究述评[J].甘肃农业大学学报, 2003, 38(3):281-289.
[2] 高吉喜.可持续发展理论探索:生态承载力理论方法与应用[M].北京: 中国环境科学出版社, 2001.
[3] 龙腾锐, 姜文超, 何强.水资源承载力内涵的新认识[J].水利学报, 2004(1):38-45.
[4] 夏军, 张永勇, 王中根, 等.城市化地区水资源承载力研究[J].水利学报, 2006(12):1482-1487.
[5] 王家骥, 姚小红, 李京荣, 等.黑河流域生态承载力估测[J].环境科学研究, 2000, 13(2):44-48.
[6] 黄青, 任志远.论生态承载力与生态安全[J].干旱区资源与环境, 2004, 18(2):11-17.
[7] 刘庄, 沈渭寿, 车克钧, 等.祁连山自然保护区生态承载力分析与评价[J].生态与农村环境学报, 2006, 22(3): 19-22.
[8] 马义德, 李廉, 王亚馥, 等.脉冲耦合神经网络原理及其应用[M].北京:科学出版社, 2006:16-20.
[9] Eckhorn R, Reitboeck H J, Arndt M, et al.Feature Linking via Synchronization among Distributed Assemblies: Simulation of Results from Cat Cortex[J].Neural Comput, 1990, 2(3):293-307.
[10] Eckhorn R, Frien A, Bauer R, et al.High Frequency Oscillations in Primary Visual Cortex of Awake Monkey[J].NeuroRep, 1993, 4(3):243-246.
[11] Eckhorn R, Reitboeck H J, Arndt M, et al.A neural network for future linking via synchronous activity: Results from cat visual cortex and from simulations[C]// Cotterill R M J.Models of Brain Function.UK: Cambridge Uinv.Press, 1989:255-272.
[12] Gray C M, singer W.Stimulus-specific neuronal oscillations in the orientation columns of cat visual cortex[J].Proc. Nat.Academy Sci., 1989, 86(5):1699-1702.
[13] 王国利, 周惠成, 杨庆.基于DRASTIC 的地下水易污染性多目标模糊模式识别模型[J].水科学进展, 2000, 11(2):173-179.
- Similar References:
Memo
-
Last Update:
1900-01-01