FuzzyTree crossover for multi-valued stock valuation☆

Lin, Ping-Chen; Chen, Jiah-Shing

doi:10.1016/j.ins.2006.08.017

Cited by 18 publications

(9 citation statements)

References 23 publications

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“…g(x, y, σ ) = (9) where f , θ and σ in equality (8) and (9) are three important parameters of the Gabor filter respectively, i.e., they are the spatial frequency, phase and spatial constant. The Fourier Transforms of even Gabor filter and odd Gabor filter in equality (8), i.e., the frequency-domain forms are respectively…”

Section: Extraction Of Other (Global) Featuresmentioning

confidence: 99%

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Fuzzy automata system with application to target recognition based on image processing

Pang

Han

2011

Computers & Mathematics with Applications

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a b s t r a c tIn order to get better image processing and target recognition, this paper presents a fuzzy automata system to target recognition. The system first performs image processing, and then accomplishes the target recognition. The system consists of four parts: image preprocessing, feature extraction, target matching and experiment. Compared with existing approaches, this paper uses both global features and local features of the target image, and carries out target recognition by using a fuzzy automata system. Simulation results show that the correct recognition rate based on the fuzzy automata system for target recognition is higher at 94.59%, an improvement on an average of 29.24%, compared to other existing approaches. Finally, some directions for future research are described.

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Section: Extraction Of Other (Global) Featuresmentioning

confidence: 99%

“…However, the fuzzy functions [6] and fuzzy approaches [7][8][9][10] were an effective tool in the process of fuzzy feature information processing. Image processing algorithms and characteristics of fuzzy functions provide a powerful base on target recognition.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy automata system with application to target recognition based on image processing

Pang

Han

2011

Computers & Mathematics with Applications

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“…Experimental results on Taiwan stock exchange weighted stock index (TSEWSI) show that DDSS outperforms its static counterpart as well as the simple buy-andhold strategy. Moreover, Lin and Chen [37] showed that the size of the training phase in the sliding window may deeply influence the final return of investment (ROI) due to over-fit learning, and they proved that a shorter training phase supports a better ROI. Recently, Wagner et al [38] developed a new ''dynamic'' GP model that is specifically tailored for forecasting in nonstatic environments.…”

Section: Introductionmentioning

confidence: 99%

A model of portfolio optimization using time adapting genetic network programming

Chen

Mabu

Hirasawa

2010

Computers & Operations Research

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“…genetic programming (GP), which is an automatic domain-independent method, has addressed such questions with a good measure of success. It has been applied in various branches of engineering and sciences including biomedical science [17,19,21,35,44,47,53], classification tasks [14,27,31,49,50,54,55,57], navigation tasks [1,4,36], image processing and pattern recognition [9,10,22,28,57], neural networks [1,7,36,39] and robotics [23,32,33,40], and in many other various applications and disciplines [8,12,18,20,34,40,41,45,46,51,56], to name but a few. However, one of the main drawbacks of GP has been the often large amount of computational effort required to solve complex problems.…”

Section: Introductionmentioning

confidence: 99%