Nothing Special   »   [go: up one dir, main page]

Wang et al., 2021 - Google Patents

A new embedded estimation model for soil temperature prediction

Wang et al., 2021

View PDF @Full View
Document ID
761770822330537023
Author
Wang X
Li W
Li Q
Publication year
Publication venue
Scientific Programming

External Links

Snippet

With the continuous development of Earth science, soil temperature has received more and more attention in Earth system research as an important parameter. The change of soil temperature (Ts) in different regions and related time series is affected by many factors …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks

Similar Documents

Publication Publication Date Title
Nadiri et al. Modelling groundwater level variations by learning from multiple models using fuzzy logic
Tian et al. Short-term wind speed prediction based on improved PSO algorithm optimized EM-ELM
Choubin et al. Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals
Wang et al. An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach
Khan et al. Neural network model for discharge and water-level prediction for Ramganga River catchment of Ganga Basin, India
Han et al. Coupling a bat algorithm with xgboost to estimate reference evapotranspiration in the arid and semiarid regions of china
Shamshirband et al. Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths
Chattopadhyay et al. Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach
Wang et al. A new embedded estimation model for soil temperature prediction
Bamisile et al. Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast
Yadav et al. Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India
Kişi et al. Modeling monthly pan evaporations using fuzzy genetic approach
Bian et al. Application, interpretability and prediction of machine learning method combined with LSTM and LightGBM-a case study for runoff simulation in an arid area
Su et al. Research on SVR water quality prediction model based on improved sparrow search algorithm
Peng et al. Effects of training data on the learning performance of LSTM network for runoff simulation
Niu et al. Short‐term wind speed hybrid forecasting model based on bias correcting study and its application
Bilgili et al. Wind speed prediction of target station from reference stations data
Khalil et al. Sparse Bayesian learning machine for real‐time management of reservoir releases
Yao et al. A hybrid data-driven deep learning prediction framework for lake water level based on fusion of meteorological and hydrological multi-source data
Huang et al. Soil moisture content prediction model for tea plantations based on SVM optimised by the bald eagle search algorithm
Cui et al. A VMD-MSMA-LSTM-ARIMA model for precipitation prediction
Li et al. Causality-structured deep learning for soil moisture predictions
Fu et al. Assessment and prediction of regional climate based on a multimodel ensemble machine learning method
Bo et al. [Retracted] Intelligent Control of Agricultural Irrigation through Water Demand Prediction Based on Artificial Neural Network
Wang et al. A data‐driven approach for flood prediction using grid‐based meteorological data