Abstract: Stock Market is considered as one of the fundamental building block of developed country so if number of inverstors increases then the economy of the country also increases and every investor invests to get good returns. But as stock market is uncertain and complicated the selection of good scripts are considered as one of the challenge in stock market field.This problem can be modelled using the Neuro-Fuzzy technique that can handle non-linearity and uncertainty in the stock market. Authors proposes a Neuro–Fuzzy model using financial indicators which play a vital role in selection of scripts. In This model past quarter results of selected listed scripts of BSE India are considered for training and setting the parameters of Fuzz...
Abstract. Stock investment has become an important investment activity in Thailand. However, investo...
The Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one o...
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...
This paper develops a model of a trading system by using neuro fuzzy framework in order to better pr...
The development of new models that would enhance predictability for time series with dynamic time-va...
This paper proposes the modelling of portfolio return using neuro-fuzzy system. The learning capabil...
Investors have begun to apply financial tools to the technical analysis to maximize the returns. The...
Summarization: Many researchers have tried to model the human behavior in stock markets. Because sto...
In this research, the researchers have managed to design a model to investigate the current trend of...
The following studies the effectiveness of using fuzzy logic and neural networks for forecasting fin...
This project discussed the possibility of using artificial intelligence (AI) techniques to formulate...
Financial Markets have been increasingly attractive as the ways of investing in stocks, commodities ...
Suppose that the value of our portfolio depends on the currency fluctations on the global finance ma...
This thesis presents a novel neural-fuzzy network architecture named the evolving Mamdani-Takagi-Sug...
Selection of proper stocks, before allocating investment ratios, is always a crucial task for the in...
Abstract. Stock investment has become an important investment activity in Thailand. However, investo...
The Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one o...
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...
This paper develops a model of a trading system by using neuro fuzzy framework in order to better pr...
The development of new models that would enhance predictability for time series with dynamic time-va...
This paper proposes the modelling of portfolio return using neuro-fuzzy system. The learning capabil...
Investors have begun to apply financial tools to the technical analysis to maximize the returns. The...
Summarization: Many researchers have tried to model the human behavior in stock markets. Because sto...
In this research, the researchers have managed to design a model to investigate the current trend of...
The following studies the effectiveness of using fuzzy logic and neural networks for forecasting fin...
This project discussed the possibility of using artificial intelligence (AI) techniques to formulate...
Financial Markets have been increasingly attractive as the ways of investing in stocks, commodities ...
Suppose that the value of our portfolio depends on the currency fluctations on the global finance ma...
This thesis presents a novel neural-fuzzy network architecture named the evolving Mamdani-Takagi-Sug...
Selection of proper stocks, before allocating investment ratios, is always a crucial task for the in...
Abstract. Stock investment has become an important investment activity in Thailand. However, investo...
The Nigerian Capital Market though an emerging market, has in recent times been adjudged to be one o...
Summarization: A neuro-fuzzy system composed of an Adaptive Neuro Fuzzy Inference System (ANFIS) con...