基于小波神经网络的农业基本旱情综合评价  

Comprehensive Evaluation on Agricultural Basic Drought Based on Wavelet Neural Network

作　　者：张春乐[1] 方崇[1] 黄伟军[1] 

机构地区：[1]广西水利电力职业技术学院,广西南宁530023

出　　处：《安徽农业科学》2010年第22期11990-11992,12004,共4页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(50679047);广西教育科研项目(200911MS319);广西水利科技专项基金项目(桂水科200806)

摘　　要：根据农业区域旱情评价指标体系和等级划分标准,提出了基于小波神经网络的干旱综合评价方法,基于MATLAB环境编制相应的程序,并将其应用于关中地区旱情综合评价。结果表明,该方法收敛速度快,评价结果客观公正,可为抗旱减灾预案的制定提供科学依据。According to evaluation system and rating standard of agricultural basic drought,a comprehensive evaluation method of drought based on wavelet neural network was proposed.Using MATLAB simulation software,the corresponding programs were written,and the model was applied in the drought comprehensive evaluation in Guanzhong area.The results showed that the assessment results were objective and accurate,convergence speed was fast,which provided a scientific basis for making the plan of drought relief and disaster alleviation drought and disaster.

关 键 词：农业基本旱情 小波神经网络 小波基函数 误差反向传播 综合评价 

分 类 号：S423[农业科学—植物保护]