The use of intelligent techniques in various decision support systems has recently become one of the most exciting and promising application areas. In this paper, we try to utilize Neural Networks (NNs) and the Temporal Dierence Learning (TD-Learning) Method to construct an intelligent decision support system for dealing stocks. We also briefly touch upon an intelligent sales prediction system which has been developed in our group. Ó 2000 Elsevier Science B.V. All rights reserved
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally ...
This paper describes a heuristic forecasting model based on neural networks for stock decision-maki...
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In this paper, we propose an intelligent stock trading decision support system that can forecast the...
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This report analyzes new and existing stock market prediction techniques. Traditional technical anal...
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Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
In recent years, neural networks have become increasingly popular in making stock market predictions...
Abstract. This article presents an intelligent stock trading system that can generate timely stock t...
Stock is becoming a significant investment tools that contributes towards Malaysia economic growth. ...
The analysis confirmed the relevance of the application of neural networks for decision support in t...
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally ...
This paper describes a heuristic forecasting model based on neural networks for stock decision-maki...
Abstract. Stock investment has become an important investment activity in Thailand. However, investo...
In this paper, we propose an intelligent stock trading decision support system that can forecast the...
This paper investigates the method of predicting stock price trends using rule-based neural network...
There has been a growing interest in applying neural networks and technical analysis indicators for ...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...
This study compares the performance of artificial neural networks and multiple linear regression as ...
This report analyzes new and existing stock market prediction techniques. Traditional technical anal...
It is offered to consider practical aspects of application of neural networks (NN) in the marketing ...
Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
In recent years, neural networks have become increasingly popular in making stock market predictions...
Abstract. This article presents an intelligent stock trading system that can generate timely stock t...
Stock is becoming a significant investment tools that contributes towards Malaysia economic growth. ...
The analysis confirmed the relevance of the application of neural networks for decision support in t...
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally ...
This paper describes a heuristic forecasting model based on neural networks for stock decision-maki...
Abstract. Stock investment has become an important investment activity in Thailand. However, investo...