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利用高含沙洪水治沙淤地后土壤成分关系模型研究

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为满足水土工程深入研究及复杂系统建模优化的需要,针对利用高含沙洪水治沙淤地后土壤养分、颗粒组成变化的复杂性,采用人工智能技术、传统多元逐步回归技术,以分析利用高含沙洪水治沙淤地后土壤养分含量与颗粒组成之间的关系,建立了二者间的关系模型,通过对比分析,两种模型均能利用土壤颗粒组成来预测土壤养分含量,但在精度上,人工神经网络模型要远远好于多元逐步回归模型.
A STUDY ON COMPOSITION RELATIONS MODEL OF THE SOIL AFTER SAND- CONTROLLING AND SOIL- RETAINING BY HYPERCONCENTRATED WATER
To satisfy the need of Water - Soil Engineering Intensive Study and Modeling and Optimization of Complex Manufacturing System, in accordance with the complexity of soil nutrient and particle composition changes after Sand - controlling and Soil - retaining by Hyperconcentrated Water, ANN Model and Traditional Multiple Regression Techniques are adopted to analyze the relationship between soil nutrient and particle composition after Sand - controlling and Soil - retaining by Hyperconcentrated Water and then to establish a relationship model of them. According to comparative analysis, both of these two models can forecast soil nutrient by soil particles. However, ANN Model far better than Stepwise Multiple Regression Model.

Sand - controlling and Soil - retainingParticles CompositionNutrient contentArtificial IntelligenceMultiple regression

胡敏、姬宝霖

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内蒙古农业大学职业技术学院,包头014109

内蒙古农业大学水利与土木建筑工程学院呼和浩特010018

治沙淤地 颗粒组成 养分含量 人工智能 多元逐步回归

国家自然科学基金教育部"春晖计划"项目内蒙古自治区科学基金重点项目

50469001Z2004-2-1510200408020601

2011

内蒙古农业大学学报(自然科学版)
内蒙古农业大学

内蒙古农业大学学报(自然科学版)

北大核心
影响因子:0.384
ISSN:1009-3575
年,卷(期):2011.32(4)
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