首页> 外文OA文献 >New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

【2h】

New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

机译：基于径向基函数神经网络（RBFNN）的新型建模策略预测溶解氧浓度，使用Gregorian日历组分作为输入：Clackamas River，Overon，USA的案例研究

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
引文网络
相似文献
相关主题

著录项

作者
Salim Heddam;
展开▼
作者单位

展开▼
年度 2016
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
专利

1. New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA [J] . Salim Heddam Modeling Earth Systems and Environment . 2016,第4期

机译：基于径向基函数神经网络（RBFNN）的新建模策略，用于使用公历日历的成分作为输入来预测溶解氧浓度：美国俄勒冈州克拉克马斯河的案例研究
2. Simultaneous modelling and forecasting of hourly dissolved oxygen concentration (DO) using radial basis function neural network (RBFNN) based approach: a case study from the Klamath River, Oregon, USA [J] . Salim Heddam Modeling Earth Systems and Environment . 2016,第3期

机译：基于径向基函数神经网络（RBFNN）的方法同时对每小时溶解氧浓度（DO）进行建模和预测：以美国俄勒冈州克拉马斯河为例
3. Generalized regression neural network-based approach for modelling hourly dissolved oxygen concentration in the Upper Klamath River, Oregon, USA [J] . Salim Heddam Environmental Technology . 2014,第13a14期

机译：基于通用回归神经网络的美国俄勒冈州上克拉马斯河每小时溶解氧浓度建模方法
4. Modelling flood prediction using Radial Basis Function Neural Network (RBFNN) and inverse model: A comparative study [C] . Ruslan Fazlina Ahmat, Samad Abd Manan, Zain Zainazlan Md, IEEE International Conference on Control System, Computing and Engineering . 2013

机译：使用径向基函数神经网络（RBFNN）和逆模型对洪水预测建模：对比研究
5. Adaptive radial basis function neural networks-based real time harmonics estimation and PWM control for active power filters [D] . Almaita, Eyad KH 2012

机译：基于自适应径向基函数神经网络的实时谐波估计和有源电力滤波器的PWM控制
6. Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy [O] . Li-juan Xie, Xing-qian Ye, Dong-hong Liu, 2008

机译：主成分-径向基函数神经网络（PC-RBFNN）在近红外光谱法检测水杨桃汁中的应用
7. Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam [O] . Dashe Li, Xueying Wang, Jiajun Sun, 2021

机译：基于增强聚类算法和亚当的溶解氧浓度预测径向基函数神经网络模型

New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

著录项

引文网络

相似文献

相关主题

期刊订阅