相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
Jan Adamowski et al.
WATER RESOURCES RESEARCH (2012)
Cu-Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms
Debanga Nandan Mondal et al.
HYDROMETALLURGY (2011)
Systematic evaluation of autoregressive error models as post-processors for a probabilistic streamflow forecast system
Martin Morawietz et al.
JOURNAL OF HYDROLOGY (2011)
Two hybrid Artificial Intelligence approaches for modeling rainfall-runoff process
Vahid Nourani et al.
JOURNAL OF HYDROLOGY (2011)
Data-Driven Multiobjective Analysis of Manganese Leaching from Low Grade Sources Using Genetic Algorithms, Genetic Programming, and Other Allied Strategies
Arijit Biswas et al.
MATERIALS AND MANUFACTURING PROCESSES (2011)
Multiobjective Optimization of Top Gas Recycling Conditions in the Blast Furnace by Genetic Algorithms
Tamoghna Mitra et al.
MATERIALS AND MANUFACTURING PROCESSES (2011)
Modelling runoff and sediment rate using a neuro-fuzzy technique
Purna Chandra Nayak et al.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT (2011)
A bootstrap approach to assess parameter uncertainty in simple catchment models
Benny Selle et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach
Mukesh K. Tiwari et al.
JOURNAL OF HYDROLOGY (2010)
Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)
Mukesh Kumar Tiwari et al.
JOURNAL OF HYDROLOGY (2010)
Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling
Mohammad Ebtehaj et al.
WATER RESOURCES RESEARCH (2010)
Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models
G. B. Sahoo et al.
JOURNAL OF HYDROLOGY (2009)
Evolutionary artificial neural networks for hydrological systems forecasting
Yung-hsiang Chen et al.
JOURNAL OF HYDROLOGY (2009)
Analyzing Sparse Data for Nitride Spinels Using Data Mining, Neural Networks, and Multiobjective Genetic Algorithms
Frank Pettersson et al.
MATERIALS AND MANUFACTURING PROCESSES (2009)
Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
Taher Rajaee et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2009)
Cohesion influences on erosion and bed load transport
Rajesh K. Jain et al.
WATER RESOURCES RESEARCH (2009)
Intelligent reservoir operation system based on evolving artificial neural networks
Paulo Chaves et al.
ADVANCES IN WATER RESOURCES (2008)
Hydrological time-series modelling using an adaptive neuro-fuzzy inference system
Mahmut Firat et al.
HYDROLOGICAL PROCESSES (2008)
Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions
Shilpa M. Asokan et al.
HYDROLOGICAL PROCESSES (2008)
Integrated hydrologic-economic modeling of coalitions of stakeholders for water allocation in the South Saskatchewan River Basin
Lizhong Wang et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2008)
Structural optimisation and input selection of an artificial neural network for river level prediction
Paul Leahy et al.
JOURNAL OF HYDROLOGY (2008)
Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling
Sungwon Kim et al.
JOURNAL OF HYDROLOGY (2008)
A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models
R. K. Srivastav et al.
WATER RESOURCES RESEARCH (2007)
Non-stationary regional flood frequency analysis at ungauged sites
Martin Leclerc et al.
JOURNAL OF HYDROLOGY (2007)
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
F. Pettersson et al.
APPLIED SOFT COMPUTING (2007)
Bootstrapped artificial neural networks for synthetic flow generation with a small data sample
Yanbing Jia et al.
JOURNAL OF HYDROLOGY (2006)
ANN and fuzzy logic models for simulating event-based rainfall-runoff
Gokmen Tayfur et al.
JOURNAL OF HYDRAULIC ENGINEERING (2006)
Adaptive neural-based fuzzy inference system (ANFIS) approach for modelling hydrological time series
M. Erol Keskin et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2006)
Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England
Christian W. Dawson et al.
NEURAL NETWORKS (2006)
Rainfall-runoff models using artificial neural networks for ensemble streamflow prediction
DI Jeong et al.
HYDROLOGICAL PROCESSES (2005)
Short-term flood forecasting with a neurofuzzy model
PC Nayak et al.
WATER RESOURCES RESEARCH (2005)
Simulating recrystallization through cellular automata and genetic algorithms
R Dewri et al.
MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING (2005)
Meta learning evolutionary artificial neural networks
A Abraham
NEUROCOMPUTING (2004)
Genetic algorithms in materials design and processing
N Chakraborti
INTERNATIONAL MATERIALS REVIEWS (2004)
A data-driven algorithm for constructing artificial neural network rainfall-runoff models
KP Sudheer et al.
HYDROLOGICAL PROCESSES (2002)