Contact positions estimation of sensing structure using adaptive neuro-fuzzy inference system

Petković, Dalibor; Issa, Mirna; Pavlović, Nenad D.; Zentner, Lena; Daud, Nor Ridzuan; Shamshirband, Shahaboddin

doi:10.1108/k-03-2013-0041

Cited by 8 publications

(2 citation statements)

References 34 publications

(27 reference statements)

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“…The only structural limitation of the shape of networks is the type of feed they are. Against this minor limitation, the use of adaptive networks has become increasingly widespread in the field of applications (Petkovic et al, 2014). The system works so that the neurons' output is typically calculated to the last layer as they move forward at each training session.…”

Section: Introductionmentioning

confidence: 99%

Predicting Optimal Portfolio by Algorithm Analysis Systems

Mehdi darvishan,

Abdoli,

Hosseini

et al. 2023

IJFIFSA

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Choosing the proper investment mechanism is one of the main tasks of any investor that requires careful analysis and research on all available information. Since no investor exactly knows whether his or her expectations for a particular stock return will be met, they need to build their strategy in such a way as to eliminate as much damage as possible in the event of an adverse outcome. This study aims to predict the optimal portfolio using Algorithm Analysis Systems. In this regard, 98 firms listed on the Tehran Stock Exchange were examined in 2015-2019. Then, random portfolios were selected to test the research hypotheses by separating value stocks and growth stocks. For analysis, two algorithms of Support Vector Machines and an Adaptive Neuro-Fuzzy Inference System were used to select the most desirable portfolio. According to the support vector machine algorithm analysis, the results confirm the difference between the Sortino and Marquitz portfolios. To build their portfolios, decision-makers often rely on growth stocks which can boost their expected returns. Therefore, recognizing the analytical nature of portfolio formation in specialized areas can help improve investment analysis and pave the way for higher returns.

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Section: Introductionmentioning

confidence: 99%

Predicting Optimal Portfolio by Algorithm Analysis Systems

Mehdi darvishan,

Abdoli,

Hosseini

et al. 2023

IJFIFSA

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“…In terms of wind power generation technology, because of numerous technical benefits the modern wind turbines always use variable speed operation which is achieved by a converter system [1]. These converters are typically associated with individual generators and they contribute significantly to the costs of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Soft methodology selection of wind turbine parameters to large affect wind energy conversion

Petković

Shamshirband

2015

International Journal of Electrical Power & Energy Systems

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RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

2016

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Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth forecasting based on the different factors. The main goal was to analyze the influence of science and technology factors on the economic growth. Gross domestic product (GDP) was used as economic growth indicator. The method of adaptive neuro fuzzy inference system (ANFIS) was applied to the data in order to select the most influential factors for the GDP growth rate forecasting. Ten inputs are considered: research and development (R&D) expenditure in GDP, scientific and technical journal articles, patent applications for nonresidents, patent applications for residents, trademark applications for nonresidents, trademark applications for residents, total trademark applications, researchers in R&D, technicians in R&D and high-technology exports. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of GDP growth rate.

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Contact positions estimation of sensing structure using adaptive neuro-fuzzy inference system

Cited by 8 publications

References 34 publications

Predicting Optimal Portfolio by Algorithm Analysis Systems

Predicting Optimal Portfolio by Algorithm Analysis Systems

Soft methodology selection of wind turbine parameters to large affect wind energy conversion

RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

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