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[PDF] Top 20 Tourism demand modeling and forecasting with artificial neural network models: The Mozambique case study

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Tourism demand modeling and forecasting with artificial neural network models: The Mozambique case study

Tourism demand modeling and forecasting with artificial neural network models: The Mozambique case study

... to the perishable nature of the tourism industry, the need to devise accurate forecasts has become crucial ...modelling and forecasting have been published in the recent ... See full document

18

Application of Artificial Neural Network for Seasonal Rainfall Forecasting: A Case Study for South Australia

Application of Artificial Neural Network for Seasonal Rainfall Forecasting: A Case Study for South Australia

... provide the maximum correlation of ...linear models’ performances using single predictor. The attained correlations of ANN models are significantly higher than the maximum correlation ... See full document

5

URBAN GROWTH MODELING USING AN ARTIFICIAL NEURAL NETWORK A CASE STUDY OF SANANDAJ CITY, IRAN

URBAN GROWTH MODELING USING AN ARTIFICIAL NEURAL NETWORK A CASE STUDY OF SANANDAJ CITY, IRAN

... issue and challenge for town and country planners. Modelling and managing urban growth is a complex ...non-linear and dynamic process systems. The design of a system that can handle ... See full document

6

EUROPEAN UNION’S HISTORY, CULTURE AND CITIZENSHIP

EUROPEAN UNION’S HISTORY, CULTURE AND CITIZENSHIP

... examines the accuracy of a forecasting model in predicting tourism demand, as represented by the number of Monthly Guest Nights in Hotels in the North of ...Portugal. The ... See full document

10

APPLYING THE ARTIFICIAL NEURAL NETWORK METHODOLOGY FOR FORECASTING THE TOURISM TIME SERIES

APPLYING THE ARTIFICIAL NEURAL NETWORK METHODOLOGY FOR FORECASTING THE TOURISM TIME SERIES

... develop models and apply them to sensitivity studies in order to predict the ...of the tourism sector in Northern Portugal and contributes to already existing econometric studies ... See full document

6

Artificial Neural Networks versus Box-Jenkins Methodology in Tourism Demand Analysis

Artificial Neural Networks versus Box-Jenkins Methodology in Tourism Demand Analysis

... Box and Jenkins, in 1970, makes it possible to undertake an analysis of the behaviour of time series, based on a joint double study: on the one hand, there is an autoregressive component that ... See full document

19

Short-Term Load Forecasting Using Artificial Neural Network

Short-Term Load Forecasting Using Artificial Neural Network

... of the literature on the application of NNs to the load forecasting was found in ...[6].Fuzzy Neural Networks (FNN) [7] and other techniques applying wavelets with NN [8] ... See full document

6

Application of data mining for identifying and predicting room bookings - window of opportunity

Application of data mining for identifying and predicting room bookings - window of opportunity

... this study is Forecasting tourism demand to Catalonia: Neural networks ...series models (Claveria & Torra, 2014), in which time series and artificial ... See full document

33

Use of artificial neural networks to predict concrete compression strength / Uso de redes neurais artificiais na predição da resistência à compressão do concreto

Use of artificial neural networks to predict concrete compression strength / Uso de redes neurais artificiais na predição da resistência à compressão do concreto

... to the constituent materials, among which one can mention the one proposed by the American Concrete Institute (ACI) and that of the Brazilian Portland Cement Association ...Despite ... See full document

12

Forecasting of a Non-Seasonal Tourism Time Series with ANN

Forecasting of a Non-Seasonal Tourism Time Series with ANN

... to the non classical time series that makes difficult the forecasting of future values because non seasonal characteristics seem to be present in the time series sev- eral experimental ... See full document

11

Tourism Website Analysis Managed by the Government Entity – Mozambique Case Study

Tourism Website Analysis Managed by the Government Entity – Mozambique Case Study

... several models to analyze tourism websites, the two government websites were evaluated based on the new model proposed in this ...parameters. The Second model this study refers ... See full document

68

Desempenho discriminatório de variáveis antropométricas na identificação de fragilidade em idosos

Desempenho discriminatório de variáveis antropométricas na identificação de fragilidade em idosos

... Associated with Mobility Limitations in People Aged 70 and Older from NHANES III ...for the prediction of falls, disability, fractures, and mortality in older ... See full document

24

Forecasting Short Term Electricity Price Using Artificial Neural Network and Fuzzy Regression

Forecasting Short Term Electricity Price Using Artificial Neural Network and Fuzzy Regression

... before, the price of electricity is ...regression the input variables should be indicated, here the input variables are the same as input nodes of the ANN ...to neural ... See full document

8

Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting

Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting

... for the identifi- cation of the streamflow evolution: in the period immedi- ately following the forecast, a rising limb, for example, will keep increasing or will reach the peak ... See full document

12

Braz. J. Chem. Eng.  vol.22 número3

Braz. J. Chem. Eng. vol.22 número3

... of the next layer, what makes it possible to render of practically any nonlinear transformation [Hoskins and Himmelblau ...(1988)]. The finally transformed by “output layer” neurons (NEURONS O1…OK) ... See full document

14

Modeling and simulation of Polymer Composite laminate bolted Joint

Modeling and simulation of Polymer Composite laminate bolted Joint

... criteria and material property degradation rules on the tensile behaviour and strength of bolted joints in graphite/epoxy composite laminates was investigated using a parametric finite element ... See full document

7

An artificial neural network model for rainfall forecasting in Bangkok, Thailand

An artificial neural network model for rainfall forecasting in Bangkok, Thailand

... into the training data set, but the past rainfall data was not included since the data brings more zero value to the training process (for no rain pe- ...gauges, and present rainfall of ... See full document

36

A hierarchical hybrid neural model in short-term load forecasting

A hierarchical hybrid neural model in short-term load forecasting

... of the forecaster. The authors employed a feed-forward neural network trained with the standard error back- propagation algorithm ...developed and applied to short-term ... See full document

6

Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis

Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis

... matrix and computes directly on the so-called image covariance matrix without image-to- vector ...transformation. The eigenvector estimates more accurate and computes the corresponding ... See full document

8

Modelling and forecasting tourism demand in Portugal: past, present and future

Modelling and forecasting tourism demand in Portugal: past, present and future

... In the last decade the number of foreign visitors increased from ...million and the number of foreign tourists from 8 million to 11 ...However, the evolution of the revenue ... See full document

10

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