Hydrological Predictions: Using Data-Driven Models Coupled with Data Preprocessing Techniques

Name: Hydrological Predictions: Using Data-Driven Models Coupled with Data Preprocessing Techniques
Brand: Kwok-wing Chau, Cong-lin Wu
SKU: 107769611
Price: 58.6 EUR
Availability: InStock

von Kwok-wing Chau, Cong-lin Wu Verlag: LAP LAMBERT Academic Publishing,

Erschienen 2011. - Taschenbuch, Größe: 15 x 1.4 x 22 cm

248 Seiten Gepflegter, sauberer Zustand. 10776961/1

Produktart:: 📚 Bücher
Autor(en):: Chau, Kwok-wing und Cong-lin Wu:
Anbieter:: Buchpark GmbH
Bestell-Nr.:: 107769611
Katalog:: Varia
ISBN | EAN:: 384336446X | 9783843364461
Zahlungsarten:: Vorauskasse, PayPal

Gebraucht, sehr gut ~~58,60 EUR~~ 52,74 EUR Kostenloser Versand

Sonderaktion: 10% Rabatt bis 05.11.2026

Verlagstext

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.

Über den Autor

Kwok-wing Chau, PhD: Studied Civil Engineering at University of Hong Kong and University of Queensland. Professor at The Hong Kong Polytechnic University, Hong Kong. Cong-lin Wu, PhD: Studied Hydrologic Engineering at The Hong Kong Polytechnic University. Currently working at Changjiang Water Resources Commission, People's Republic of China.