نتایج جستجو برای: rmse regression model
تعداد نتایج: 2331037 فیلتر نتایج به سال:
Extended Abstract Introduction: Germination is considered the first and most important stage of establishment and consequently, successful competition which is influenced by genetic and environmental factors. Among the environmental factors influencing the germination, temperature and light are the most important ones. Using different models, the germination response of seeds to temperature c...
Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations
The determination of soil texture and organic carbon across agricultural areas provides important information to derive soil condition. Precise digital soil maps can help to till agricultural fields with more accuracy, greater cost-efficiency and better environmental protection. In the present study, the laboratory analysis of sand, silt, clay and soil organic carbon (SOC) content was combined ...
a precise estimation of water consumption throughout a crop's growth season and of the amount of water consumed in each growth stage may play an important role in water resources management, integrated water and soil management, and proper irrigation scheduling. in a greenhouse, this faces with the conditions specific to this environment. this study was conducted to propose a model to make an a...
soil moisture retention curve is one of the soil hydraulic prosperities which its direct measurement is time consuming and expensive. therefore, indirect methods such as developing pedotransfer functions have been used to predict this characteristic from soil readily available or easily measurable data. in this study, multiple linear regression method was used to develop point pedotransfer func...
and model’s scores The RMSE improvement presented in the abstract corresponds to the RMSE on stations, given in Section 4. We agree that the model’s performance cannot be summarized by this mild improvement, and we should insist more on the better representation of the spatial variability. As the reviewer states, the results for NO in terms of total RMSE are “surprisingly low” when given in the...
The growing season climatic parameters, especially rainfall, play the main role to predict the yield production. Therefore, the main objective of this research was to find out some possible relations among meteorology parameters and drought indexes with the yield using classical statistical methods. To achieve the objective, ten meteorological parameters and twelve drought indexes were evaluate...
The growing season climatic parameters, especially rainfall, play the main role to predict the yield production. Therefore, the main objective of this research was to find out some possible relations among meteorology parameters and drought indexes with the yield using classical statistical methods. To achieve the objective, ten meteorological parameters and twelve drought indexes were evaluate...
The accuracy and precision of the input data in decision making is important. Error originates from data collection, data entry, storage, retrieval and analysis of the data which consequently result in model error. One of the errors in spatial analysis is interpolation error. The main objective of this research was the suitability assessment of some interpolation methods for estimation of groun...
OBJECTIVE To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. DESIGN Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. SETTING NARCOMS registry spring 2010 biannual update and supplemen...
Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time at a given location. It is carried out by collecting quantitative data about the current state of the atmosphere and past and/or present experiences. In this study Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple linear regression model were used to analyze metrolo...
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