烟台市水资源承载力的RBF神经网络评价法  

Comprehensive Evaluation on Water Resources Carrying Capacity in Yantai City Based on Radial Basis Function Neural Network

作　　者：邵金花[1] 刘贤赵[2] 

机构地区：[1]山东淄博一中,山东淄博255200 [2]鲁东大学地理与规划学院,山东烟台264025

出　　处：《水土保持研究》2007年第6期156-159,共4页Research of Soil and Water Conservation

基　　金：山东省自然科学基金资助(Q02E03)

摘　　要：基于RBF神经网络的基本原理,在Matlab6.5环境中建立了水资源承载力的评价模型,并应用该模型对烟台市的水资源承载力进行了综合评价,对烟台市水资源的可持续利用提供科学的决策依据。Based on the RBF neural network theory, a new model for evaluating water resources carrying capacity was built up using Matlab6. 5 . And it was applied to evaluate water resources carrying capacity in Yantai city. So the result provides the scientific decision basis for water resources sustainable development and utilization of Yantai city.

关 键 词：水资源承载力 RBF神经网络 评价 烟台市 

分 类 号：P457[天文地球—大气科学及气象学]