The stock market has a high profit and high risk features, on the stock market analysis and prediction research has been paid attention to by people. Stock price trend is a complex nonlinear function, so the price has certain predictability. This article mainly with improved BP neural network(BPNN) to set up the stock market prediction model, and the results show that the method has good prediction effect on stock price, can provide certain reference for investment
Stock market prediction has been the most shortsighted field. Everyone wants to earn more from their...
As the technical analysis is playing a more and more important role in today’s financial market, inv...
Stock price are highly volatile, non linear and random in nature. Soft computing technique, such as ...
Issuing stocks is the key method to raise money for corporations. Today, stocks have become the most...
Stock market is a promising financial investment that can generate great wealth. However, the volati...
The greater the investment, the greater the risk, and building a stock prediction model with high ac...
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally ...
This paper explore neural network method for predicting the stock market which much-needed accuracy....
Prediction of stock prices is useful for investors to understand how investments is suitable into o...
In this paper, Back-Propagation neural network is used to make prediction on stock price. Theories o...
This project is aiming to use artificial neural network to predict and analyze the trend of stock pr...
This paper presents computational approach for stock market prediction. Artificial Neural Network (A...
Everyday millions of shares trade, with an overall value of a few hundred million. This is due to st...
Predicting stock data with traditional time series analysis has become one popular research issue. A...
Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
Stock market prediction has been the most shortsighted field. Everyone wants to earn more from their...
As the technical analysis is playing a more and more important role in today’s financial market, inv...
Stock price are highly volatile, non linear and random in nature. Soft computing technique, such as ...
Issuing stocks is the key method to raise money for corporations. Today, stocks have become the most...
Stock market is a promising financial investment that can generate great wealth. However, the volati...
The greater the investment, the greater the risk, and building a stock prediction model with high ac...
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally ...
This paper explore neural network method for predicting the stock market which much-needed accuracy....
Prediction of stock prices is useful for investors to understand how investments is suitable into o...
In this paper, Back-Propagation neural network is used to make prediction on stock price. Theories o...
This project is aiming to use artificial neural network to predict and analyze the trend of stock pr...
This paper presents computational approach for stock market prediction. Artificial Neural Network (A...
Everyday millions of shares trade, with an overall value of a few hundred million. This is due to st...
Predicting stock data with traditional time series analysis has become one popular research issue. A...
Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
Stock market prediction has been the most shortsighted field. Everyone wants to earn more from their...
As the technical analysis is playing a more and more important role in today’s financial market, inv...
Stock price are highly volatile, non linear and random in nature. Soft computing technique, such as ...