[PDF] Top 20 Forecasting Inflation Rates Using Artificial Neural Networks
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Forecasting Inflation Rates Using Artificial Neural Networks
... day forecasting, has placed a lot of interest in studying the artificial neural network (ANN) forecasting in economics, financial, business and engineering applications including GDP growth, ... See full document
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Prediction of Corrosion Rates in Structural Steel Using Artificial Neural Networks
... transformed using a non-linear transfer function (activation function-logistic sigmoid function to produce an ...neurons, using linear or nonlinear transfer function do the same as in hidden ... See full document
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The Cost Forecasting Application in an Enterprise with Artificial Neural Networks
... the rates of wastage in machines and of maintenance/repair fall and as efficiency and rate of capacity use ...of artificial neural network in this ... See full document
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River flow forecasting with artificial neural networks using satellite observed precipitation pre processed with flow length and travel time information: case study of the Ganges river basin
... Moreover, accurate timing is also important and is a crit- ical factor in operational management and decision-making activities related to high magnitude flood events. Timing er- rors (phase lag) of the model results ... See full document
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Prediction of Rainfall Using Fuzzy Dataset
... weather forecasting using two techniques; artificial neural networks and fuzzy ...forward neural network is architecture of used neural network and it was trained ... See full document
5
Evaluation of Artificial Neural Networks in Foreign Exchange Forecasting
... The inputs data are fed in through a file already created in excel software and same is imported into the SPSS which is the software used in analyzing the data. The study has four variables of length 444 each, each of ... See full document
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Forecasting the yield and direction of the Australian 10 year Commonwealth Treasury Bond using artificial neural networks
... This paper is concerned with the application of artificial neural networks (ANN) to the forecasting of the time series generated by the 10 Year Commonwealth Treasury Bond [r] ... See full document
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Short-Term Forecast of Wind Speed through Mathematical Models
... models for forecasting time series applied in wind generation based on the combination of time series 828. models with artificial neural networks[r] ... See full document
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Real Time Flood Forecasting System Using Artificial Neural Networks
... In this study, firstly historical data collected from the Koyana Dam Maintenance Division, Koyananagar and Sangli Irrigation Department, Sangli. Extract effective factors from the data collected using the Gamma ... See full document
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Prediction of Stock Prices Using Artificial N...
... addition, artificial neural networks are often able to detect subtle patterns and trends that may be too intricate for humans to ...Further, artificial neural networks can ... See full document
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Short term traffic condition variables forecasting using Artificial Neural Networks
... those using or reproducing, in whole or in part, the material for valid purposes, providing the copyright owners are acknowledged using the normal ... See full document
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The Forecast of Exchange Rates using Artificial Neural Networks, and their comparison to classic models
... (1905). Using Random Walk as a benchmark to other forecast models simultaneously tests the Efficient Market Hypothesis, as originally proposed by Eugene Fama (1965) states that it is impossible to build a model ... See full document
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Power System Short-Term Load Forecasting Using Artificial Neural Networks
... precise forecasting is the basis of electrical energy trade and spot price establishment for the system to gain the minimum electricity purchasing ...operation, forecasting error causes more purchasing ... 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
... forecast using structural and time series ...evaluated using RMSE, MAE, and MAPE which revealed the supremacy of ARIMA over the other models ...in forecasting monthly average cocoa beans ... See full document
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Forecasting solid waste generation in Juba Town, South Sudan using Artificial Neural Networks (ANNs) and Autoregressive Moving Averages (ARMA)
... presented in Table 2, from where we observed 1-1-1 (1 input layer, 1 hidden layer, and 1 output layer) gives an accurate prediction of the weekly solid waste output. Applying the rule-of-thumb method for estimating the ... See full document
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Artificial Neural Network Models Investigation for Euphrates River Forecasting & Back Casting
... multilayer networks and also can be categorized into feed forward and feed backward networks due to the direction of the information and processing (Haddad et ... See full document
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...evolved using the Differential Evolution and basic ...by using ... See full document
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A Review of Epidemic Forecasting Using Artificial Neural Networks
... mathematical models include different typology functions or even different statistical learners. Algorithms hybrid is required when the learning procedures take advantage of traditional methods and heuristics, while data ... See full document
12
Advanced approach to numerical forecasting using artificial neural networks
... The RBF-NN has same topology as three layers MLP networks. The main diff erence is in the hid- den layer. As defi ned in (Wedding, Cios; 1996), (Šíma, Neruda; 1996) the hidden layer of nodes each node represents a ... See full document
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FORECASTING OF DAILY NEED PRODUCT USING ARTIFICIAL NEURAL NETWORKS
... GFF networks, train certain output nodes to respond to certain input patterns and the changes in connection weights, due to learning, cause those same nodes to respond to more general classes of ... See full document
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