Research on PRBP Neural Network Flood Forecasting Model in Chongyang River Basin

Research on PRBP Neural Network Flood Forecasting Model in Chongyang River Basin

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The Poak-Ribiére conjugate gradient back propagation algorithm (PRBP) of numerical optimization technology was used, and 21 rainstorm and flood processes from 1997 to 2022 in the upper reaches of Chongyang River basin were studied. The rainfall volume of six rainfall stations in the upper reaches of...

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Bibliographic Details
Main Authors: SI Qi, JIN Baoming, LU Wangming, CHEN Zhaoqing
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2025-01-01
Series:Renmin Zhujiang
Subjects:
PR conjugate gradient method
BP neural network
flood forecasting
Chongyang River basin
Online Access:http://www.renminzhujiang.cn/thesisDetails?columnId=90550443&Fpath=home&index=0
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