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Quantum Search Tuning ANFIS/NGARCH for Analysis of Timing of Resources Exploration In The Behavior of Firm    

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2 Author(s)
Hsiu Fen Tsai ; Shu-Te University, Taiwan ; Bao Rong Chang

We have insight into the importance of resource exploration; however, we really do not know when the firm will seriously commit to this kind of activities. Thus, an intelligence-based model, using logarithmic search with quantum existence testing (LSQET) to tune a composite model of adaptive neuron-fuzzy inference system (ANFIS) and nonlinear generalized autoregressive conditional heteroscedasticity (NGARCH), is proposed to constitute the relationship among five indicators of behavior of firm. Meanwhile, the performance summary among several alternative methods is compared quantitatively.

Published in:

Third International Conference on Natural Computation (ICNC 2007)  (Volume:5 )

Date of Conference:

24-27 Aug. 2007