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人工神经网络约束模型在造林规划上的应用研究 被引量：1

A Study on the Application of the Satisfaction Restriction Modelof Artificial Neural Network to Afforestation Programme
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摘要 系统地介绍了神经网络满意约束模型在造林规划上的应用研究 ,该模型简单方便 ,可实现树种优化安排。最终在计算机上模拟了这个过程 ,结果表明利用该模型收敛速度较快 。 Systematically this artical discusses the application of the satisfaction restriction model of artificial neural network to afforestation programme. This model, simple and convenient, can be used in the species optimum arrangement. And a computer simulation of experimental process was done. Results show that this model has faster convergent speed and good adaptability.
作者 黄月琼 周元满 刘素青
机构地区 湛江海洋大学农学院
出处 《江西农业大学学报》 CAS CSCD 2002年第3期360-362,共3页 Acta Agriculturae Universitatis Jiangxiensis
关键词 应用 人工神经网络 造林规划 满意约束模型 计算机模拟仿真 artificial neural network afforestation programme satisfaction restriction model
分类号 S757.4 [农业科学—森林经理学] TP183 [自动化与计算机技术—控制理论与控制工程]
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二级参考文献3

  • 1[1]Angeline P J et al. An evolutionary algorithm that construct recurrent neural networks.IEEE Trans Neural Network.,1994,5(1)
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  • 3[3]Goldberg D E.Genetic Algorithms in search.Optimization and machine learning Readding.MA:Addison-Wesley,1989,27～93

共引文献5

同被引文献17

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引证文献1

二级引证文献5

江西农业大学学报
2002年 第3期

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