[PDF] Top 20 Dual Artificial Neural Network for Rainfall Runoff Forecasting
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Dual Artificial Neural Network for Rainfall Runoff Forecasting
... One of the most important steps in the ANN hydro- logical model development is determination of signifi- cant input variables which requires prior knowledge and generating an analytical approach of cross correlation to ... See full document
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... for rainfall- runoff modeling and demonstrated the impact of the training data selection on the accuracy of runoff ...surface runoff and sediment losses of the ...inflow forecasting of ... See full document
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COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING
... (Prybutok, Yi and Mitchell, 2000). Somvanshi et al., (2006) and Shaymaa (2014) considered ANN and ARIMA to predict behavior pattern of rainfall. These studies split the observed dataset into two parts. The larger ... See full document
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Artificial Neural Networks for Event Based Rainfall Runoff Modeling
... fall runoff process with varying degrees of success. The rainfall runoff is a complex, dynamic, and non-linear process, which is affected by many and often interrelated, physical ...generating ... See full document
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Monthly runoff forecasting by means of artificial neural networks (ANNs)
... the rainfall-runoff process ...on rainfall- runoff process modelling by means of ANN employ a single ANN model in order to model this complex, nonlinear and discontinuous ...particularly ... See full document
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A Multivariate Artificial Neural Network Approach for Rainfall Forecasting: Case Study of Victoria, Australia
... ANN modeling was carried out for separate and combined climate indices considering 5, 10, 15, 20, 25, 30 and 35 hidden neurons for three stations in Victoria. The best model of each input set was chosen based on the ... See full document
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Groundwater level forecasting using Artificial Neural Network
... Forward Neural networks (FFNs) for long period simulations of hourly groundwater levels in a coastal unconfined aquifer situated in the Lagoon of Venice, ...as rainfall and ...input-single-output ... See full document
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Echo state networks as an alternative to traditional artificial neural networks in rainfall–runoff modelling
... recurrent artificial neural networks over their feedforward counterparts, it is still unclear whether the former offer practical advantages as rainfall–runoff ...state network models ... See full document
15
Forecasting of monthly marine fish landings using artificial neural network
... The correlation between fish landings and months were not investigated in this research. It was noted however that certain relationships which could influence the amount of fish caught might exist between the landings ... See full document
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A Survey on Rainfall Prediction using Artificial Neural Network
... the rainfall pattern, thus, provides better forecasting accuracy ...propagation neural network model for rainfall prediction in Chennai, ...monthly rainfall was predicted by them ... See full document
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Study on Pollution Forecasting using 2Phase Neural Network
... Artificial Neural Network for Pollution Forecasting : Forecasting it is intuitive that accuracy is very important ...pollution forecasting model are different different types of ... See full document
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... Agriculture is the backbone of the nation, which is the major source of income for many people in India. The demand of food is extremely high in highly populated countries. So, the agricultural sectors are needed to be ... See full document
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An artificial neural network model for rainfall forecasting in Bangkok, Thailand
... and rainfall record from surrounding sta- tions), a continuous ANN model could perform highly accu- racy of rainfall forecast and can be used for real time appli- ...model, rainfall from 1 to 6 h ... See full document
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Rainfall-runoff modelling using artificial neural network method
... or runoff and rainfall are available for the catchment ...of runoff resulting from a given rainfall event depends on a number of factors such as initial moisture, land use, and slope of the ... See full document
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Multi criteria validation of artificial neural network rainfall runoff modeling
... for rainfall-runoff modeling by artifi- cial neural ...by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, ...observed runoff in ... See full document
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RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK
... Artificial Neural Network is used in predicting the amount of rainfall-runoff that will predict the future amount of discharges in Tumaga Riv- er, Zamboaga City, ...- rainfall, ... See full document
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To contemplate quantitative and qualitative water features by neural networks method
... Stochastic models work with random variable with probability factorization. The best-known stochastic model is the linear autoregression model ARMAX (Au- toregressive Moving Average with Exogenous Inputs) introduced by ... See full document
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A New Approach for Rainfall Prediction using Artificial Neural Network
... environment, Rainfall is one of the key ...of rainfall forecast data is to endorsement water resources management specifically which is concerned to be change the global climate in different tropical ... See full document
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Rainfall Forecasting Using Backpropagation Neural Network
... using artificial neural network with three configura- tions namely Multilayer Feed Forward Network (MLFN), Partial Recurrent Neural Network (PRNN), and Time Delay Neural ... See full document
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Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach
... algorithm and Bayesian regularization. The performance of these algorithms was evaluated and it was found that Levenberg- Marquardt was a good choice for forecasting heavy metals concentration in the selected ... See full document
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