| 黄土湿陷性的智能化评价 |
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| 引用本文： | 井彦林,仵彦卿,崔中兴,宋学庆,李寅良.黄土湿陷性的智能化评价[J].水土保持通报,2006,26(1):53-56. |
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| 作者姓名： | 井彦林 仵彦卿 崔中兴 宋学庆 李寅良 |
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| 作者单位： | 1. 西北农林科技大学,资源环境学院,陕西,杨凌,712100
2. 陕西省科技厅,陕西,西安,710004 |
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| 基金项目： | 中国科学院知识创新工程项目;陕西省科技扶贫专项基金 |
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| 摘 要： | 试验研究了普那菊苣在延安市飞马河流域的生长特性、农艺经济性状及育苗栽培技术等,结果表明,普那菊苣能够适应该区域土壤气候及一般田间管理条件,产草量达8.2~9.8 t/(hm2.a),抗病无虫,品质优良,育苗栽培可解决该草在生产中抓苗保苗问题。
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| 关 键 词： | 引种栽培 经济性状 育苗移栽 |
| 文章编号： | 1000-288X(2006)01-0050-03 |
| 收稿时间： | 01 30 2005 12:00AM |
| 修稿时间： | 2005年1月30日 |
Intelligent Evaluation of Loess Collapsibility |
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| JING Yanlin,WU Yanqing,CUI Zhongxing,SONG Xueqing and LI Yingliang.Intelligent Evaluation of Loess Collapsibility[J].Bulletin of Soil and Water Conservation,2006,26(1):53-56. |
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| Authors: | JING Yanlin WU Yanqing CUI Zhongxing SONG Xueqing and LI Yingliang |
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| Abstract: | This paper presents a method for assessment of loess collapsibility using the data mining technology.Coefficients of collapsibilities are predicted using the method.The database should be created based on practical engineering,and a prediction model,built with the BP neural network.The predicted loess collapse settlement is compared with the measured loess collapse settlement.Results show that prediction precision of collapse settlement is up to 89% for a specific project case.This indicates that the intelligent method of evaluating loess collapsibility is very useful in engineering |
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| Keywords: | introduction and culture economic character growing-seedling culture |
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