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

Author

Tsai, Hsiu Fen ; Chang, Bao Rong

Author_Institution

Shu-Te Univ., Kaohsiung

Volume

5

fYear

2007

Firstpage

292

Lastpage

296

Abstract

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.

Keywords

adaptive systems; commerce; fuzzy systems; inference mechanisms; quantum computing; risk management; ANFIS; LSQET; NGARCH; adaptive neuron-fuzzy inference system; firm behavior; intelligence-based model; logarithmic search; nonlinear generalized autoregressive conditional heteroscedasticity; quantum existence testing; quantum search tuning; resource exploration; Adaptive systems; Computer science; Decision making; Environmental management; Information analysis; Information management; Quantum computing; Shape; System testing; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2007. ICNC 2007. Third International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2875-5

Type

conf

DOI

10.1109/ICNC.2007.591

Filename

4344855