Search Results - (( developing wealth selection algorithm ) OR ( java evolution optimization algorithm ))
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1
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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2
Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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Thesis -
3
Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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Thesis -
4
Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Energy is considered a prime agent in the generation of wealth and also a significant factor in economic development. …”
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Thesis -
5
Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model
Published 2007“…Accordingly, the aim of this research is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time series data. …”
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Book Section -
6
