首页> 外文OA文献 >Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods in the Lower Cheliff plain, Algeria

【2h】

Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods in the Lower Cheliff plain, Algeria

机译：利用多种线性回归，普通克里格和人工神经网络方法在芯片平原中使用多元线性回归的空间建模

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
相似文献
相关主题

著录项

作者
Koulla Noureddine; Achite Mohammed; Celso Santos; Douaoui Abdelkader; Bradaï Abdelhamid; Victor Nascimento;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods [J] . Shahabi Mahmoud, Jafarzadeh Ali Asghar, Neyshabouri Mohammad Reza, Archives of Agronomy and Soil Science . 2017,第1a7期

机译：利用多线性回归，普通克里格和人工神经网络方法的土壤盐度空间建模
2. Spatial prediction and modeling of soil salinity using simple cokriging,artificial neural networks,and support vector machines in El Outaya plain,Biskra,southeastern Algeria [J] . Samir Boudibi, Bachir Sakaa, Zineeddine Benguega, 中国地球化学学报（英文版） . 2021,第003期

机译：利用简单焦化，人工神经网络，埃尔Outaya Plane，Bishtra，Algeria的Biskra的空间盐度空间预测和建模
3. Spatial prediction of saline and sodic soils in rice-shrimp farming land by using integrated artificial neural network/regression model and kriging [J] . Quang Toan Dinh, Liang Dongli, Tran Thi Anh Thu, Archives of Agronomy and Soil Science . 2018,第1a7期

机译：用综合人工神经网络/回归模型和克里格用稻虾养土壤盐水和肥皂土的空间预测
4. Artificial Neural Networks Environmental Forecasting in Comparison with Multiple Linear Regression Technique: from Heavy Metals to Organic Micropollutants Screening in Agricultural Soils [C] . Maria Grazia Bonelli, Mauro Ferrini, Andrea Manni International Conference of Computational Methods in Sciences and Engineering . 2016

机译：与多元线性回归技术相比，人工神经网络环境预测：从农业土壤中从重金属到有机微量润湿剂筛选
5. Evaluation of ordinary cokriging and artificial neural networks for optimizing rainfall estimate using stage III NEXRAD precipitation surfaces and rain gauge measurements. [D] . Yu, Chia-Yii. 2003

机译：使用第三阶段NEXRAD降水面和雨量计测量评估普通协同克里格法和人工神经网络以优化降雨估计。
6. Application of Multiple Linear Regression and Artificial Neural Networks for the Prediction of the Packing and Capsule Filling Performance of Coated and Plain Pellets Differing in Density and Size [O] . Panagiotis Barmpalexis, Ioannis Partheniadis, Konstantina-Sepfora Mitra, 2020

机译：多元线性回归和人工神经网络在密度和尺寸不同的包衣和普通颗粒的包装和胶囊填充性能预测中的应用
7. Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig [O] . Jayanta Kumar Basak, Frank Gyan Okyere, Elanchezhian Arulmozhi, 2020

机译：人工神经网络和多元线性回归作为猪体表温度的潜在方法

Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods in the Lower Cheliff plain, Algeria

著录项

相似文献

相关主题

期刊订阅