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Event Forecasting of Rivers with Soft Computing Methods

https://doi.org/10.2139/ssrn.4821691
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Determining suspended solids and total phosphorus from turbidity: comparison of high-frequency sampling with conventional monitoring methods
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Time series forecasting of temperature and turbidity due to global warming in river Ganga at and around Varanasi, India
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Water quality assessment of lake water: a review
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River Water Quality Modelling Using Artificial Neural Network Technique
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Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
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Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
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Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations
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Forecasting and Evaluating Water Quality of Chao Lake based on an Improved Decision Tree Method
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Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
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Sensors in the Stream: The High-Frequency Wave of the Present
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Learning representations by back-propagating errors
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Forecasting water quality parameters using artificial neural network for irrigation purposes
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River Water Quality Modelling: III. Future of the Art
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Improving uncertain nutrient load estimates for Lake Balaton
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Applied Linear Statistical Models.
inferredcites →https://doi.org/10.3311/ppci.14734openalex-extracted
Bioreactor Simulation with Quadratic Neural Network Model Approximations and Cost Optimization with Markov Decision Process
inferredcites →https://doi.org/10.3389/feart.2019.00126openalex-extracted
Hysteretic Response of Solutes and Turbidity at the Event Scale Across Forested Tropical Montane Watersheds
inferredcites →https://doi.org/10.48550/arxiv.2106.06770openalex-extracted
What can linearized neural networks actually say about generalization?
inferredcites →https://doi.org/10.6028/jres.049.044openalex-extracted
Methods of conjugate gradients for solving linear systems
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