Hydrological Predictions的封面
书籍主题:

Hydrological Predictions

Using Data-Driven Models Coupled with Data Preprocessing Techniques

LAP LAMBERT Academic Publishing (2011-05-31 )

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ISBN-13:

978-3-8433-6446-1

ISBN-10:
384336446X
EAN:
9783843364461
书籍语言:
英文
作品简介:
This book makes an endeavor to improve the accuracy of hydrological forecasting in three aspects, model inputs, selection of models, and data-preprocessing techniques. Seven input techniques, namely, linear correlation analysis (LCA), false nearest neighbors, correlation integral, stepwise linear regression, average mutual information, partial mutual information, artificial neural network (ANN) based on multi-objective genetic algorithm, are first examined to select optimal model inputs in each prediction scenario. Representative models, such as K-nearest-neighbors (K-NN) model, dynamic system based model (DSBM), ANN, modular ANN (MANN), and hybrid artificial neural network-support vector regression (ANN-SVR), are then proposed to conduct rainfall and streamflow forecasts. Four data-preprocessing methods including moving average (MA), principal component analysis (PCA), singular spectrum analysis (SSA), and wavelet analysis (WA), are further investigated by integration with the abovementioned forecasting models.
出版社 :
LAP LAMBERT Academic Publishing
网址:
https://www.lap-publishing.com/
由(作者):
Kwok-wing Chau, Cong-lin Wu
页码 :
248
发表日期:
2011-05-31
现货:
备有现货
类别:
建筑和环境技术
价格:
79.00 €
关键词:
Hydrological Predictions, data-driven models, Data Preprocessing Techniques, Artificial Intelligence Techniques, Soft Computing, rainfall, Streamflow, Rainfall-Runoff, Hydrological Model, Hydrological Forecasting

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