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Application of GA Optimized Wavelet Neural Networks for Carrying Capacity of Water Resources Prediction
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11801603_156openalex-snapshot
GA Optimized Wavelet Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-36668-3_156openalex-snapshot
GA Optimized Wavelet Neural Networks
inferredcites →https://doi.org/10.1007/s00521-006-0069-3openalex-snapshot
Wavelet networks for nonlinear system modeling
inferredcites →https://doi.org/10.1007/s11269-007-9182-zopenalex-snapshot
A Risk Assessment Model of Water Shortage Based on Information Diffusion Technology and its Application in Analyzing Carrying Capacity of Water Resources
inferredcites →https://doi.org/10.1007/s11769-002-0066-0openalex-snapshot
The balance between supply and demand of water resources and the water-saving potential for agriculture in the Hexi Corridor
inferredcites →https://doi.org/10.1016/s1364-8152(99)00007-9openalex-snapshot
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
inferredcites →https://doi.org/10.1109/72.557660openalex-snapshot
Using wavelet network in nonparametric estimation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Research and Implementation of Intelligent Risk Recognition Model Based on Engineering Construction of Neural Network
inferred← citeshttps://doi.org/10.1007/s00170-018-1756-9openalex-snapshot
Identification of relevant wavelet functions for multiscale characterization of manufactured surfaces using a genetically optimized neural network
inferred← citeshttps://doi.org/10.1007/s10668-022-02597-9openalex-snapshot
Assessing carrying capacity of regional water resources in karst areas, southwest China: a case study
inferred← citeshttps://doi.org/10.1007/s11269-010-9730-9openalex-snapshot
Assessment of Water Resources Carrying Capacity in Tianjin City of China
inferred← citeshttps://doi.org/10.1007/s12206-016-1236-9openalex-snapshot
Intelligent control of an MR prosthesis knee using of a hybrid self-organizing fuzzy controller and multidimensional wavelet NN
inferred← citeshttps://doi.org/10.1007/s12206-020-0804-1openalex-snapshot
Modeling and controlling a semi-active nonlinear single-stage vibration isolator using intelligent inverse model of an MR damper
inferred← citeshttps://doi.org/10.1007/s12665-015-4816-6openalex-snapshot
Assessment of water resource carrying capacity in karst area of Southwest China
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2014.12.058openalex-snapshot
Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.jenvman.2015.11.033openalex-snapshot
An innovative method for water resources carrying capacity research – Metabolic theory of regional water resources
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132584openalex-snapshot
Multi-objective optimization scheduling for extensive plain lake water resources incorporating flood resource utilization
inferred← citeshttps://doi.org/10.1061/9780784479896.178openalex-snapshot
Comparative Analysis on the Prediction Model of Near-Road CO and PM 2.5 Concentration
inferred← citeshttps://doi.org/10.1109/ihmsc.2013.68openalex-snapshot
Application of Wavelet Neural Network for Chaos Time Series Prediction
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4186205/v1openalex-snapshot
Exploring the Evaluation of Ecological Security of Water Resources in the Yangtze River Basin under the Background of Ecological Sustainable Development
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4203844/v1openalex-snapshot
Factors Influencing Water Resources Levels under the Water Resources Carrying Capacity Framework – A Dynamic QCA Analysis Based on Provincial Panel Data
inferred← citeshttps://doi.org/10.2139/ssrn.5074113openalex-snapshot
Assessing and Optimizing the Impact of Water Network Construction on Regional Water Resources Spatial Equilibrium
inferred← citeshttps://doi.org/10.2166/wcc.2018.114openalex-snapshot
Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province
inferred← citeshttps://doi.org/10.3141/2503-04openalex-snapshot
Hybrid Model for Prediction of Carbon Monoxide and Fine Particulate Matter Concentrations near a Road Intersection
inferred← citeshttps://doi.org/10.3389/feart.2022.970582openalex-snapshot
A bibliometric analysis and review of water resources carrying capacity using rené descartes’s discourse theory
inferred← citeshttps://doi.org/10.3390/w16203006openalex-snapshot
Factors Influencing Water Resource Levels Under the Water Resource Carrying Capacity Framework: A Dynamic Qualitative Comparative Analysis Based on Provincial Panel Data
inferred← citeshttps://doi.org/10.5942/jawwa.2015.107.0073openalex-snapshot
Use of Artificial Neural Networks and Genetic Algorithms in Urban Water Management: A Brief Overview
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