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あぁかがさざただなはばぱまやゃらわゎんいぃきぎしじちぢにひびぴみりうぅくぐすずつづっぬふぶぷむゆゅるえぇけげせぜてでねへべぺめれおぉこごそぞとどのほぼぽもよょろを

アァカサザタダナハバパマヤャラワヮンイィキギシジチヂニヒビピミリウゥクグスズツヅッヌフブプムユュルエェケゲセゼテデヘベペメレオォコゴソゾトドノホボポモヨョロヲ ―

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Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω

á à Á À é è É È ç Ç ê

Ä Ö Ü ä ö ü ß

ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב

‘ ’ “ ” 〔〕〈〉「」『』【】＂（）［］｛｝

± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋－＜＝＞

、。 · ‥ … ¨ 〃 ― ∥ ＼ ∼ ´ ～ ˇ ˘ ˝ ˚ ˙ ¸ ˛ ¡ ¿ ː ！＇，．／：；？＾＿｀｜

½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄

Æ Ð Ħ Ĳ Ł Ø Œ Þ Ŧ Ŋ æ đ ð ħ ı ĳ ĸ ŀ ł ø œ ß þ ŧ ŋ ŉ

А Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я а б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ъ ы ь э ю я

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§ ※ ☆ ★ ○ ● ◎ ◇ ◆ □ ■ △ ▽ → ← ↑ ↓ ↔ 〓 ◁ ◀ ▷ ▶ ♤ ♠ ♡ ♥ ♧ ♣ ⊙ ◈ ▣ ◐ ◑ ▒ ▤ ▥ ▨ ▧ ▦ ▩ ♨ ☏ ☎ ☜ ☞ ¶ † ‡ ↕ ↗ ↙ ↖ ↘ ♭ ♩ ♪ ♬ ㉿㈜ № ㏇ ™ ㏂㏘ ℡ ＃＆＊＠ ª º

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1
RETRACTED: Survey of the most influential parameters on the wind farm net present value (NPV) by adaptive neuro-fuzzy approach

Petković,, Dalibor,Shamshirband, Shahaboddin,Kamsin, Amirrudin,Lee, Malrey,Anicic, Obrad,Nikolić,, Vlastimir Elsevier 2016 RENEWABLE & SUSTAINABLE ENERGY REVIEWS Vol.57 No.-
- 원문보기
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of Editor-in-Chief. This article bears substantial similarity to previously published works, including 1. 'Adaptive neuro fuzzy selection of heart rate variability parameters affected by autonomic nervous system'; Dalibor Petković, Žarko Ćojbašić, Stevo Lukić; Expert Systems with Applications, Volume 40, Issue 11, 1 September 2013, Pages 4490-4495, 10.1016/j.eswa.2013.01.055 2. 'Optimization of wind turbine micrositing: A comparative study'; Samina Rajper, Imran J. Amin; Renewable and Sustainable Energy Reviews, Volume 16, Issue 8, October 2012, Pages 5485–5492, 10.1016/j.rser.2012.06.014. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission or review process.. Renewable and Sustainable Energy Reviews (2016) Page range from 1270 - 1278, 10.1016/j.rser.2015.12.175
2
Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

M. Safa,M. Shariati,Z. Ibrahim,A. Toghroli,Shahrizan Bin Baharom,Norazman M. Nor,Dalibor Petković 국제구조공학회 2016 Steel and Composite Structures, An International J Vol.21 No.3
Structural design of a composite beam is influenced by two main factors, strength and ductility. For the design to be effective for a composite beam, say an RC slab and a steel I beam, the shear strength of the composite beam and ductility have to carefully estimate with the help of displacements between the two members. In this investigation the shear strengths of steel-concrete composite beams was analyzed based on the respective variable parameters. The methodology used by ANFIS (Adaptive Neuro Fuzzy Inference System) has been adopted for this purpose. The detection of the predominant factors affecting the shear strength steel-concrete composite beam was achieved by use of ANFIS process for variable selection. The results show that concrete compression strength has the highest influence on the shear strength capacity of composite beam.
3
Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model

Shamshirband, Shahaboddin,Mohammadi, Kasra,Khorasanizadeh, Hossein,Yee, Por Lip,Lee, Malrey,Petković,, Dalibor,Zalnezhad, Erfan Elsevier 2016 RENEWABLE & SUSTAINABLE ENERGY REVIEWS Vol.56 No.-
- 원문보기
Abstract Diffuse solar radiation is a fundamental parameter highly required in several solar energy applications. Despite its significance, diffuse solar radiation is not measured in many locations around the world due to technical and fiscal limitations. On this account, determining the amount of diffuse radiation alternatively based upon precise and reliable estimating methods is indeed essential. In this paper, a coupled model is developed for estimating daily horizontal diffuse solar radiation by integrating the support vector machine (SVM) with wavelet transform (WT) algorithm. To test the validity of the coupled SVM–WT method, daily measured global and diffuse solar radiation data sets for city of Kerman situated in a sunny part of Iran are utilized. For the developed SVM–WT model, diffuse fraction (cloudiness index) is correlated with clearness index as the only input parameter. The suitability of SVM–WT is evaluated against radial basis function SVM (SVM–RBF), artificial neural network (ANN) and a 3rd degree empirical model established for this study. It is found that the estimated diffuse solar radiation values by the SVM–WT model are in favourable agreements with measured data. According to the conducted statistical analysis, the obtained mean absolute bias error, root mean square error and correlation coefficient are 0.5757MJ/m2, 0.6940MJ/m2 and 0.9631, respectively. While for the SVM–RBF ranked next the attained values are 1.0877MJ/m2, 1.2583MJ/m2 and 0.8599, respectively. In fact, the study results indicate that SVM–WT is an efficient method which enjoys much higher precision than other models, especially the 3rd degree empirical model.