چکیده مقاله
Lack of actual amount of principal factors in the composite materials filed results in imprecision and uncertainty Use of different approaches for analyzing and solving the engineering problems depends on nature and amount of uncertainty of problems When the information of the system is characterized through linguistic terms in such situations, the fuzzy theory can be used to determine the structural response in the sense of evaluation of its upper and lower bounds, respectively We can obtain a more strong fuzzy system by combining neural network techniques and fuzzy logic called Adaptive Fuzzy Systems AFS In this article, we propose a new neuro fuzzy technique for the composite materials, in order to find an optimal volume fraction when Hooke’s law is utilized in a unidirectional lamina We devised an Adaptive Network based Fuzzy Inference System ANFIS as an estimator system for composite materials science To construct a neuro fuzzy system has utilized a Takagi Sugeno Kang type fuzzy system We show that the ANFIS is more accurate rather than a rule of mixture theory in the estimation of empirical data especially in uncertain situations In order to evaluate the proposed approach, we perform experiments on a dataset of empirical data through MATLAB software Wecompared the ability of the proposed approach with the rule of mixtures approach and illustrated that ANFIS is more accurate to estimate the empirical data
کلیدواژهها
نویسندگان
مسعود دولتخواه
کارشناس زراعت و اصلاح نباتات، کارشناس فضای سبز، شهرداری بیرجند
Hadi Mehdipour
Department of Mechanical Engineering, Faculty of Shahid Chamran, Kerman Branch, Technical and Vocational University TVU , Kerman, Iran
ملیحه سبزبان
کارشناس ارشد برنامه ریزی آمایش سرزمین،دانشگاه پیام نور- شهرداری بیرجند
حمیدرضا امیرآبادی زاده
کارشناس تولیدات گیاهی، رئیس اداره سیما و منظر شهری، شهرداری بیرجند
عبدالله نظری
کارشناس تولیدات گیاهی،کارشناس فضای سبز، شهرداری بیرجند
غلامرضا حافظی
کارشناس تولیدات گیاهی، معاونت سازمان فضای سبز، شهرداری بیرجند
شیوه ارجاع
Mehdipour, Hadi,1398,An adaptive-network-based fuzzy inference system (ANFIS) for prediction of characteristics in the Mechanics of Composite Materials,First International Conference on Mechanical, Manufacturing, Industrial and Civil Engineering
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران25 اسفند 1398