The stock market is a very complicated nonlinear dynamic system, it has both the high income and high risk properties. So the forecast of stock market trend has been always paid attention to by stockholders and invest organization. Forecasting stock prices and their trends are important factors in achieving significant gains in financial markets. In this paper, a neural network-driven fuzzy reasoning system for stock price forecast is proposed on the basis of the trends of stock market
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...
In this research the information technology for stock indexes forecast on the base of fuzzy neural n...
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluct...
Today, investment by purchasing stock-share constitutes the greater part of economic exchange of cou...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
In this research, the researchers have managed to design a model to investigate the current trend of...
Stock trading can be generally divided into two types – fundamental analysis and technical analysis....
This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model...
Abstract:- In this article, we discuss the application of a combination of Neural Networks and Fuzzy...
This thesis deals with fuzzy logic, fuzzy systems and fuzzy neural networks used for prediction of s...
Forecasting the future price of a stock on the stock exchange is a difficult task. Stock exchange is...
This paper aims to predict stock prices using open, high, low, close variables using artificial neur...
The stock market, which has been investigated by various researchers, is a very complicated environm...
Stock market prediction is essential and of great interest because successful prediction of stock pr...
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...
In this research the information technology for stock indexes forecast on the base of fuzzy neural n...
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluct...
Today, investment by purchasing stock-share constitutes the greater part of economic exchange of cou...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
In this research, the researchers have managed to design a model to investigate the current trend of...
Stock trading can be generally divided into two types – fundamental analysis and technical analysis....
This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model...
Abstract:- In this article, we discuss the application of a combination of Neural Networks and Fuzzy...
This thesis deals with fuzzy logic, fuzzy systems and fuzzy neural networks used for prediction of s...
Forecasting the future price of a stock on the stock exchange is a difficult task. Stock exchange is...
This paper aims to predict stock prices using open, high, low, close variables using artificial neur...
The stock market, which has been investigated by various researchers, is a very complicated environm...
Stock market prediction is essential and of great interest because successful prediction of stock pr...
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...
In this research the information technology for stock indexes forecast on the base of fuzzy neural n...
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluct...