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LM神经网络在环境质量评估中的应用 被引量:6

Levenberg-Marquardt Neural Network for Environmental Quality Assessment
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摘要 环境质量评估与社会、经济、管理等各个领域紧密相关,是一个多目标、多层次、多因素的复杂系统工程。神经网络可实现非线性关系的隐式表达,据此提出基于Levenberg-Marquardt神经网络的环境质量评估方法,并用MATLAB实现模拟计算。结果表明,该方法不仅简化了评估过程,而且稳定、快捷,预测结果精度较高。 Environmental quality assessment is a multi-object,multi-level and multi-factor complex system problem,which is closely related with areas such as society,economics and management.In this study,the neural network with Levenberg-Marquardt algorithm is applied to the problem of environmental quality assessment.Matlab Software is used for simulation and computation.The experiment results show that the method is a prospective tool for environmental quality assessment.The method not only simplifies the assessment process,but also is stable,fast and accurate.
出处 《江南大学学报(自然科学版)》 CAS 2010年第2期213-216,共4页 Joural of Jiangnan University (Natural Science Edition) 
关键词 神经网络 LEVENBERG-MARQUARDT算法 环境质量评估 Neural network Levenberg-Marquardt algorithm environmental quality assessment
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