[PDF] Top 20 Forecasting Malaysian Exchange Rate using Artificial Neural Network
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Forecasting Malaysian Exchange Rate using Artificial Neural Network
... in forecasting the foreign exchange rate or predicting the trend is a critical key for any future business to ...for forecasting has been proved to be successful for quite some ...for ... See full document
10
The Usefulness of Artificial Neural Networks in Forecasting Exchange Rates
... USD/EUR exchange rate during 2014 and its 12 one-month ahead forecasts based on the ARIMA (7,1,48) and NAR (11-12-1), as well as a naïve prediction that assumes ‘no change’ in the next ...the neural ... See full document
8
A New Approach to Predict Selective Critical Stock Indices Through Artificial Neural Networks and Chaos Theory
... a neural network which is capable of learning and concluded that neural network approach can significantly better thepredictability of stock price ...used Artificial Neural ... See full document
5
Groundwater level forecasting using Artificial Neural Network
... recharge rate to the aquifer by suitable ...present rate of groundwater recharge, monitor the change in water table depth and then predict the future trend of water table depth before any ... See full document
5
FORECASTING ENERGY DEMAND FOR A HOUSE USING ARTIFICIAL NEURAL NETWORK
... demand forecasting becomes a complex ...of Artificial Neural Network structure with Levenberg-Marquardt as the learning algorithm for predicting the electricity ...hourly forecasting of ... See full document
6
An Efficient Weather Forecasting System using Artificial Neural Network
... error rate (corresponding to the effort to collect training data to build a model with given maximum error rate) and the transferability of models‟ expertise between different datasets (corresponding to the ... See full document
6
Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... weather forecasting is employed for monitoring the rainfall rate that gives an idea about suitable crop yield prediction ...economic forecasting or cost prediction is the most essential factor in the ... See full document
9
Electrical Load Forecasting in Power Distribution Network by Using Artificial Neural Network
... the network. The network setting is original back propagation 4 inputs and 1 ...learning rate setting, momentum and number of Epoch changes in the cases while stopping criteria is ...of using ... See full document
7
A New Approach for Rainfall Prediction using Artificial Neural Network
... rainfall forecasting model is very important ...rainfall forecasting, were used an Artificial Neural Network (ANN) by the Cascade-forward Back propagation Neural Network ... See full document
12
National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network
... as Artificial Neural Network is capable to solve non liner ...forward neural network can effectively predict price ...Stock Exchange benchmark stock index and top ten weighted ... See full document
6
Forecasting nitrate concentration in groundwater using artificial neural network and linear regression models
... groundwater using regression and neural ...utilized artificial neural networks to predict the pesticide and nitrate contamination in rural private ...and neural networks to model ... See full document
6
In Search of a Warning Strategy Against Exchange rate Attacks: Forecasting Tactics Using Artificial Neural Networks
... The prediction exercised here is performed in a discrete dynamics environment, based on the daily fluctuations of the interbank overnight interest rate, using artificial neural networks [r] ... See full document
18
Evaluation of Artificial Neural Networks in Foreign Exchange Forecasting
... makers. Forecasting with a very week tools has an adverse effect on the economic development due to its negative effect on international trade and investment, using a weak model to forecast will lead to ... See full document
8
Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models
... Artificial neural networks (ANN) are mimicking the human brains way of learning and emulate human’s behavior for solving nonlinear complex ...financial forecasting such as index prediction, foreign ... See full document
14
Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?
... Despite the random walk estimation, we examine the performance of two types of ANNs: Multi-layered feedforward network MLFN and General Regression Neural Network GRNN in predicting the e[r] ... See full document
13
International Journal of Computer Science and Mobile Computing
... Foreign Exchange Rates ...foreign exchange market by taking a small subset of known information to reduce the effect of this uncertainty and ...foreign exchange data with too many factors influencing ... See full document
6
Global solar radiation forecasting based on meteorological data using artificial neural network
... by using Standard multilayered feed-forward, back-propagation neural network with Levenberg- Marquardt (LM) training algorithm and Gradient descent back propagation (GD) ...the neural ... See full document
5
An Effective Artificial Neural Network based Power Load Prediction Algorithm
... saved network structure for each case of experiment e. g. Neural Network, K-mean clustering methods ...By neural network implementation, best network structures are selected ... See full document
7
Experimental study on electricity price forec...
... In a deregulated market, instead of only one generation provider in a local area, there are now several generation providers in the same area. The local regulatory body can no longer set the electricity price. Consumers ... See full document
7
Long Term Forecasting of Solar Power Using Artificial Neural Network
... The line plots are shown in Figure 6 for the actual solar power and its corresponding forecasts from ANN model and compared with MLR and persistence forecasts models. The day-ahead weather variables forecasts are used as ... See full document
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