Modeling of performance in estimation of design parameters transport-technological machines
نویسندگان
چکیده
منابع مشابه
the role of application of dynamic assessment approach in improvement of iranian efl writing performance at different language proficiency levels
the present study sought to investigate the role of dynamic assessment (da) in improvement of iranian efl writing performance at different language proficiency levels. to this end, after conducting the quick placement test, 60 iranian efl learners were assigned to two groups with different language proficiency levels. in both groups each participant wrote two compositions, one before and one af...
Estimation of Subpopulation Parameters in One-stage Cluster Sampling Design
Sometimes in order to estimate population parameters such as mean and total values, we extract a random sample by cluster sampling method, and after completing sampling, we are interested in using the same sample to estimate the desired parameters in a subset of the population, which is said subpopulation. In this paper, we try to estimate subpopulation parameters in different cases when one-st...
متن کاملModeling of technological performance trends using design theory
Functional technical performance usually follows an exponential dependence on time but the rate of change (the exponent) varies greatly among technological domains. This paper presents a simple model that provides an explanatory foundation for these phenomena based upon the inventive design process. The model assumes that invention – novel and useful design – arises through probabilistic analog...
متن کاملthe effect of task complexity on efl learners’ written task performance in terms of accuracy and complexity
هدف اصلی این تحقیق بررسی تاثیر افزایش میزان پیچیدگی تکالیف مکالمه محور بر دقت و صحت و پیچیدگی عملکرد نوشتاری زبان آموزان می باشد. بدین منظور، 50 نفر از دانش آموزان دختر در رده ی سنی 15 الی 18 سال درسطح pre-intermediate از طریق petو vhs تست به عنوان شرکت کنندگان در تحقیق انتخاب شدند و به دو گروه آزمایشی و کنترل بصورت اتفاقی تقسیم شدند. اعضای گروه آزمایشی دو تکلیف ساده و پیچیده را طی 2 جلسه انجام...
A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels
The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mehanization and electrification of agricultural
سال: 2019
ISSN: 2707-0751,0131-2189
DOI: 10.37204/0131-2189-2019-10-23