The article is devoted to the research of market trends in order to forecast stock prices on the basis of neuron networks. To demonstrate such a possibility the authors propose three networks for each considered trend. The article demonstrates that neuron networks can be an effective way to predict the market prices of shares
This report investigates how prediction of stock markets with Artificial Neural Networks (ANN) is af...
M.Comm.The availability of large amounts of information and increases in computing power have facili...
Stock price forecasting is highly important for the entire market economy as well as the investors t...
This paper is a survey on the application of neural networks in forecasting stock market prices. Wit...
This paper presents computational approach for stock market prediction. Artificial Neural Network (A...
This project is aiming to use artificial neural network to predict and analyze the trend of stock pr...
This paper discusses the use a neural network to solve a problem of predicting stock prices. A backg...
Stock market is a promising financial investment that can generate great wealth. However, the volati...
The present study is mainly based on time series of stock prices. In this article, I propose to pred...
Prediction of stock market has been a challenging task and of great interest for researchers as the ...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
This paper investigates the method of predicting stock price trends using rule-based neural network...
The stock price shows the character of complex non-linear system, along with changes of internal and...
This document contains the master thesis project, done by F.W. Op 't Landt under supervision of...
Recent studies reflect a growing interest in applying neural networks to answer stock behavior. Most...
This report investigates how prediction of stock markets with Artificial Neural Networks (ANN) is af...
M.Comm.The availability of large amounts of information and increases in computing power have facili...
Stock price forecasting is highly important for the entire market economy as well as the investors t...
This paper is a survey on the application of neural networks in forecasting stock market prices. Wit...
This paper presents computational approach for stock market prediction. Artificial Neural Network (A...
This project is aiming to use artificial neural network to predict and analyze the trend of stock pr...
This paper discusses the use a neural network to solve a problem of predicting stock prices. A backg...
Stock market is a promising financial investment that can generate great wealth. However, the volati...
The present study is mainly based on time series of stock prices. In this article, I propose to pred...
Prediction of stock market has been a challenging task and of great interest for researchers as the ...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
This paper investigates the method of predicting stock price trends using rule-based neural network...
The stock price shows the character of complex non-linear system, along with changes of internal and...
This document contains the master thesis project, done by F.W. Op 't Landt under supervision of...
Recent studies reflect a growing interest in applying neural networks to answer stock behavior. Most...
This report investigates how prediction of stock markets with Artificial Neural Networks (ANN) is af...
M.Comm.The availability of large amounts of information and increases in computing power have facili...
Stock price forecasting is highly important for the entire market economy as well as the investors t...