A system based on an artificial neural network of the second generation for decision support in especially significant situations-Reference-Cited by-同舟云学术

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A system based on an artificial neural network of the second generation for decision support in especially significant situations

Published:2023-01 Issue: Volume:616 Page:128844
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Palchevsky Evgeny,Antonov Vyacheslav,Enikeev Rustem Radomirovich,Breikin Tim

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference63 articles.

1. Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions;Adikari;Environ. Model. Softw.,2021

2. A comprehensive comparison of recent developed meta–heuristic algorithms for streamflow time series forecasting problem;Ahmed;Appl. Soft Comput.,2021

3. A novel attention–based LSTM cell post–processor coupled with bayesian optimization for streamflow prediction;Alizadeh;J. Hydrol.,2021

4. Optimization of state–of–the–art fuzzy–metaheuristic ANFIS–based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India;Arora;Sci. Total Environ.,2021

5. Convergence of Rprop and variants;Bailey;Neurocomputing,2015

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1. Development of an intelligent system for early forecasting and modelling of flood situation on the example of the Republic of Bashkortostan using a proprietary machine and deep learning library;Journal of Hydrology;2024-04

2. Geographical big data and data mining: A new opportunity for “water-energy-food” nexus analysis;Journal of Geographical Sciences;2024-01-26

3. DEEP PROCESS-DATA MINING FOR BUILDING OF ANALYTICAL MODELS: 1. MEDIUM-TERM FORECAST OF SPRING FLOOD EXTREMES FOR MOUNTAIN RIVERS;Eurasian Journal of Mathematical and Computer Applications;2023-09

4. Multivariable NARX Based Neural Networks Models for Short-Term Water Level Forecasting;ITISE 2023;2023-07-05

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