An RBF‐based model with an information processor for forecasting hourly reservoir inflow during typhoonsHydrological Processes - Tập 23 Số 25 - Trang 3598-3609 - 2009
Gwo‐Fong Lin, Ming‐Chang Wu, Guorong Chen, Fei‐Yu Tsai
AbstractInflow forecasting is essential for decision making on reservoir
operation during typhoons. In this paper, a radial basis function (RBF)‐based
model with an information processor is proposed for more accurate forecasts of
hourly reservoir inflow. Firstly, based on the multilayer perceptron neural
(MLP) network, an information processor is developed to pre‐process the typhoon
information (n... hiện toàn bộ
Time series forecasting by combining the radial basis function network and the self‐organizing mapHydrological Processes - Tập 19 Số 10 - Trang 1925-1937 - 2005
Gwo‐Fong Lin, Lu‐Hsien Chen
AbstractBased on a combination of a radial basis function network (RBFN) and a
self‐organizing map (SOM), a time‐series forecasting model is proposed.
Traditionally, the positioning of the radial basis centres is a crucial problem
for the RBFN. In the proposed model, an SOM is used to construct the
two‐dimensional feature map from which the number of clusters (i.e. the number
of hidden units in th... hiện toàn bộ
A nonlinear data‐driven model for synthetic generation of annual streamflowsHydrological Processes - Tập 22 Số 12 - Trang 1831-1845 - 2008
K. P. Sudheer, K. Srinivasan, T. R. Neelakantan, V. V. Srinivas
AbstractA hybrid model that blends two non‐linear data‐driven models, i.e. an
artificial neural network (ANN) and a moving block bootstrap (MBB), is proposed
for modelling annual streamflows of rivers that exhibit complex dependence. In
the proposed model, the annual streamflows are modelled initially using a radial
basis function ANN model. The residuals extracted from the neural network model
ar... hiện toàn bộ
Auto‐configuring radial basis function networks for chaotic time series and flood forecastingHydrological Processes - Tập 23 Số 17 - Trang 2450-2459 - 2009
Li‐Chiu Chang, Fi‐John Chang, Yuanpeng Wang
AbstractThe learning strategy of the radial basis function network (RBFN)
commonly uses a hybrid learning process to identify the structure and then
proceed to search the model parameters, which is a time‐consuming procedure. We
proposed an evolutionary way to automatically configure the structure of RBFN
and search the optimal parameters of the network. The strategy can effectively
identify an ap... hiện toàn bộ
Short‐term inflow forecasting using an artificial neural network modelHydrological Processes - Tập 16 Số 12 - Trang 2423-2439 - 2002
Zhiheng Xu, J. Y. Li
AbstractThe primary objective of this study is to investigate the possibility of
including more temporal and spatial information on short‐term inflow
forecasting, which is not easily attained in the traditional time‐series models
or conceptual hydrological models. In order to achieve this objective, an
artificial neural network (ANN) model for short‐term inflow forecasting is
developed and several... hiện toàn bộ
Assessing the effect of climate change on mean annual runoff in the Songhua River basin, ChinaHydrological Processes - Tập 26 Số 7 - Trang 1050-1061 - 2012
Dejia Meng, Xingguo Mo
AbstractInfluences of climatic change on the components of global hydrological
cycle, including runoff and evapotranspiration are significant in the mid‐ and
high‐latitude basins. In this paper, the effect of climatic change on annual
runoff is evaluated in a large basin—Songhua River basin which is located in the
northeast of China. A method based on Budyko‐type equation is applied to
separate th... hiện toàn bộ
The potential role of freshwater luminescence measurements in exploring runoff pathways in upland catchmentsHydrological Processes - Tập 15 Số 6 - Trang 989-1002 - 2001
Malcolm Newson, Andy Baker, Stewart Colin Mounsey
AbstractThe forested Coalburn catchment (1·5 km2) in northern England
experiences episodic stream acidification. To plan for sustainable management of
the plantation forest cycle, an understanding is required of the flow pathways
and hydrochemical routing signatures of the organic and mineral soils that make
up the source areas for runoff. A tentative mixing model, based on simple water
chemistry ... hiện toàn bộ