[PDF] Top 20 Neural network emulation of a rainfall-runoff model
Has 10000 "Neural network emulation of a rainfall-runoff model" found on our website. Below are the top 20 most common "Neural network emulation of a rainfall-runoff model".
Neural network emulation of a rainfall-runoff model
... level of overall agreement between the observed and modelled datasets and on this particular occa- sion depicts superior ...good model in terms of accurate forecasts, since positive and negative ... See full document
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Application of Artificial Neural Network for Seasonal Rainfall Forecasting: A Case Study for South Australia
... capability of South Australian seasonal rainfall with the aid of climate predictors where maximum of two climate drivers were used instead of single and found some successes regarding ... See full document
5
Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction
... ANN model is three layer architecture with input, hidden and output layers as shown in Figure ...neurons. Neural networks are employed to detect concealed relations in the input in the training ... See full document
10
Influence of rainfall observation network on model calibration and application
... influence of the density of the raingauge network on the simulated discharge, with both real and synthetic precipitation and discharge data sets (Krajewski et ...case of the sparse net- work ... See full document
13
Estimation of synthetic flood design hydrographs using a distributed rainfall–runoff model coupled with a copula-based single storm rainfall generator
... because of the large range of weather ...measurement network (Fig. 1) consists of eight raingauges (Canicattì, Cal- tanissetta, Delia, Mazzarino, Enna, Riesi, Petralia Sottana, Polizzi ... See full document
15
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... advantages of using ANNs for the weather. The advantages of the ANNs stand out: the nonlinearity inherent networks that allow this tech- nique can perform functions that a linear program (such as MLR) can ... See full document
8
An artificial neural network model for rainfall forecasting in Bangkok, Thailand
... 1990 for systematic and efficient management of operation and control of flood pro- tection facilities. BMA has 53 online tipping bucket type rain gauge stations scattered throughout Bangkok and sensors ... See full document
36
Rainfall-runoff modelling and palaeoflood hydrology applied to reconstruct centennial scale records of flooding and aquifer recharge in ungauged ephemeral rivers
... series of narrow gorge reaches where suitable sites for palaeoflood hydrology were identified ...reaches of the Buffels River system showed little change in the cover of riparian species since 1930s ... See full document
12
Information and Communication Technology as a Provider of Food Security: Design of an Expert System to Assist in Communication where Non-Audible Communication is Expedient
... Since neural networks use simple algorithm to provide the essential useful data manipulation capabilities, the feature extraction methodology of distilling the required information in the knowledge base ... See full document
4
Evaluating the influence of selected parameters on sensitivity of a numerical model of solidification
... evaluation of influence of selected parameters on sensitivity of a numerical model of ...investigated model is based on the heat conduction equation with a heat source and solved ... See full document
6
Functional Link Artificial Neural Network for Classification Task in Data Mining
... Artificial Neural Network (FLANN) model for the task of pattern classification in data ...FLANN model functionally expands the given set of ...artificial neural ... See full document
8
Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models
... purpose of this paper is to study the sensitivity of the parameters of the Takagi-Sugeno-Kang (Takagi and Sugeno, 1985; Sugeno and Kang, 1988) rainfall-runoff fuzzy mod- els previously ... See full document
15
Towards The Development of an Index to Measure the Performance of Multi-Productivity Areas
... variability of construction labor productivity were reviewed in the previous ...Artificial Neural Networks are then ...list of factors that affect construction productivity is prepared to collect ... See full document
14
The Influence Of CSR Awareness On Consumer Purchase Decision Of A Telecommunication Network In Ghana A Case Of La Nkwantanag Madina Municipality
... kinds of responsibilities construct CSR before involving in any CSR act ...theory of CSR‘s components is Carroll‘s four-part ...theory of CSR, arguing that CSR is constituted by four kinds of ... See full document
9
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... control of non-linear systems if they are working around an operating ...kind of control problem is to develop a non-linear model predictive control ...number of predictive control schemes ... See full document
9
Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.
... problem of making decisions given noisy sensory measurements and incomplete knowledge of their ...form of Bayesian inference for solving the hidden state ...question of how probabilistic ... See full document
11
The effect of leaf litter cover on surface runoff and soil erosion in Northern China.
... instead of the fresh leaves, twigs and decomposed litter, only litter with intact shapes were ...widths of the collected needle-leaf litter and broadleaf litter were measured (Table ...component of ... See full document
15
A Study of Various Intrusion Detection Model Based on Data Fusion, Neural Network and D-S Theory
... tools of IDS, VDS (Virus Detection System), Firewall, Netflow ...the network, whether there are intrusion events occurring, and predict the next ...amount of factors in the network, as shown ... See full document
7
RUNOFF MEASUREMENT AND PREDICTION FOR A WATERSHED UNDER NATURAL VEGETATION IN CENTRAL BRAZIL
... period of observation. The R/P ratio, also used to compute peak rate of runoff, is given more importance nowadays because of the possibility of predicting dispersion of dissolved ... See full document
7
An Intelligent Procedure for the Detection and Classification of Chickens Infected by Clostridium Perfringens Based on their Vocalization
... classification of chickens by infected Clostridium perfringens type A based on their ...absence of secondary diseases and their probable effect on bird vocalization, vaccines for common diseases were ... See full document
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