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[PDF] Top 20 RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

Has 10000 "RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK" found on our website. Below are the top 20 most common "RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK".

RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

... The daily precipitation was utilized in the ANN, which was compiled from the ZCWD. The data period was of one (1) year; however, the researchers took the data of 2014 with the end goal to calibrate each year. The data ... See full document

7

Artificial Neural Networks for Event Based Rainfall Runoff Modeling

Artificial Neural Networks for Event Based Rainfall Runoff Modeling

... The Artificial Neural Network (ANN) approach has been successfully used in many hydrological studies especially the rainfall-runoff modeling using continuous ... See full document

7

Multi criteria validation of artificial neural network rainfall runoff modeling

Multi criteria validation of artificial neural network rainfall runoff modeling

... i.e. artificial neural networks ...the rainfall-runoff pro- cess compared with other modeling approaches (Hsu et ...of rainfall-runoff modeling (Smith and Eli, ... See full document

11

APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED

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 ...models using watershed-scale geomorphologic parameters to predict ... See full document

14

Dual Artificial Neural Network for Rainfall Runoff Forecasting

Dual Artificial Neural Network for Rainfall Runoff Forecasting

... of runoff is the estimation of extreme values ...of rainfall-runoff process, the improvement in prediction of such extremes is far from ...leled) artificial neural network ... See full document

5

A Survey on Rainfall Prediction using Artificial Neural Network

A Survey on Rainfall Prediction using Artificial Neural Network

... two rainfall prediction models i.e. Artificial Neural Network model (ANN) and Multi Regression model (MLR) and implemented in Alexandria, ...of artificial neural networks (ANNs) ... See full document

9

Rainfall-runoff modelling using artificial neural network method

Rainfall-runoff modelling using artificial neural network method

... out using five years period of daily data and ten years period of hourly data consisting the rainfall and runoff records from selected catchments in Peninsular of ...daily ... See full document

54

Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm

Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm

... for artificial neural networks have various questions such as computational complexity, low accuracy and narrow scope of ...trained artificial neural networks was presented ... See full document

8

Analyzing the Mara River Basin Behaviour through Rainfall Runoff Modeling

Analyzing the Mara River Basin Behaviour through Rainfall Runoff Modeling

... catchments’ runoff generation characteristics, and to explore ranges of model ...statistically using the objective functions according to [14] and also [15] for both normal and logarithmic values (R eff and ... See full document

15

Particle Swarm Optimization Feedforward Neural Network for Hourly Rainfall-runoff Modeling in Bedup Basin, Malaysia

Particle Swarm Optimization Feedforward Neural Network for Hourly Rainfall-runoff Modeling in Bedup Basin, Malaysia

... hydrological modeling has undergone much ...a network with sufficient hidden units is able to approximate any continuous function to any degree of accuracy by performing efficient training ([8], ...are ... See full document

10

Modeling of Speech Recognition Using Artificial Neural Network

Modeling of Speech Recognition Using Artificial Neural Network

... with Neural Network. In this Neural Network toolbox of MATLAB R2015a has been ...of neural network, Feedforward with backpropagation and the Radial basis functions are executed ... See full document

5

Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia

Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia

... temperature, Rainfall, altitude), Environment, Culture / The cost of manufacture / billions, the extent of service states that polewali mandar is the village which is the priority of the most important BTS ... See full document

5

Modeling of Relative Humidity Using Artificial Neural Network

Modeling of Relative Humidity Using Artificial Neural Network

... years, artificial neural networks (ANNs) have been used in ambient temperature prediction for locations with different latitudes and climates (Tasadduq, 2002, Abdel-Aal, 2004, Altan, ...a neural ... See full document

7

SELECTION OF BEST METHOD AMONG DIFFERENT METHODS FOR DETERMINING MISSING RAINFALL DATA: CRITICAL REVIEW

SELECTION OF BEST METHOD AMONG DIFFERENT METHODS FOR DETERMINING MISSING RAINFALL DATA: CRITICAL REVIEW

... of rainfall data from different rain gauge stations were examined by Miro et ...high rainfall irregularity. In this study, daily rainfall data of 60 years were ...missing rainfall data, ... See full document

6

Modeling of a Glass Tank Furnace Using Artificial Neural Network

Modeling of a Glass Tank Furnace Using Artificial Neural Network

... Abstract: Modeling of an Industrial side port regenerative glass tank furnace for float glass manufacturing has been done using a Radial Basis Function (RBF) neural network to connect various ... See full document

6

PREDICTION OF MONTHLY RAINFALL OF MANSA REGION USING ARTIFICIAL NEURAL NETWORK (ANN)

PREDICTION OF MONTHLY RAINFALL OF MANSA REGION USING ARTIFICIAL NEURAL NETWORK (ANN)

... Sabarmati River flows through the eastern part of Mansa Taluka in North – South ...perennial river; however, after construction of dam near Dharoi, it is generally dry during lean ... See full document

6

Analysis of the effect of climate change on rainfall intensity and 
		expected flooding by using ANN and SWMM programs

Analysis of the effect of climate change on rainfall intensity and expected flooding by using ANN and SWMM programs

... of modeling for all cases indicated that when CO ₂ conditions were dual this led to a rise in the magnitude and frequency of the flooding events and these vary from one place to ...by using continuous flow ... See full document

11

Review Flood Prediction Using Machine Learning, Literature Review

Review Flood Prediction Using Machine Learning, Literature Review

... stations. Further, the evaluation shows that MNLR models with lower RMSE values have a better performance over the ANFIS, MLR, ANN models. Furthermore, MNLR is suggested as a low cost and efficient model for daily ... See full document

44

A REVIEW ON RAINFALL RUNOFF MODELING

A REVIEW ON RAINFALL RUNOFF MODELING

... hydrologic modeling system to determine the hydraulic properties a selected geographic ...drainage network of individual cells is created for the geographic ...determining runoff of a biological ... See full document

5

Estimation of groundwater level using a hybrid genetic algorithm-neural network

Estimation of groundwater level using a hybrid genetic algorithm-neural network

... Back-propagation (BP) algorithms are the most popular training algorithms that are widely used due to their simplicity and the application for training FF-NN (Kulluk, 2013). In FF-BP networks, which are considered in ... See full document

13

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