A survey on exchange rate prediction using neural network based methods
نویسندگان
چکیده
منابع مشابه
A Survey on Crop Prediction using Back Propagation Neural Network
The aim of this research is to develop a farmer prediction system to identify crop suitable for particular soil. To achieve this Neural Network should be trained to perform correct prediction for farmers. After the network has been properly trained, it can be used to identify the crop suitable for particular type of soil. The Artificial neural networks are relatively crude electronic networks o...
متن کاملA Survey on Rainfall Prediction using Artificial Neural Network
Rainfall prediction is one of the most important and challenging task in the modern world. In general, climate and rainfall are highly non-linear and complicated phenomena, which require advanced computer modeling and simulation for their accurate prediction. An Artificial Neural Network (ANN) can be used to predict the behavior of such nonlinear systems. ANN has been successfully used by most ...
متن کاملA Survey on Gene Prediction Using Neural Network
Neural network is traditionally used to refer to a network or circuit of Gene in the research traditionally. Despite a high number of techniques specifically dedicated to networks problems as well as many successful applications, we are in the initiation process to massively integrate the aspects and experiences in the different core subjects such as medicine, computer science, engineering and ...
متن کاملNanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network
Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...
متن کاملExchange rate prediction: a wavelet-neural approach
The paper deals with the use of artificial neural networks (ANN) for predictions of economic time series. First, we revise the basic existing ANN architectures for time series forecasting and describe their application on CZK/EUR exchange rate prediction. Next, we introduce a hybrid version of the ANN that builds upon the same network strategy but tries to enhance the prediction accuracy by fir...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i2.6.10069