نتایج جستجو برای: linear regression based on z numbers
تعداد نتایج: 9516477 فیلتر نتایج به سال:
this study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. a least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. the proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...
روابط بین مراحل زندگی (لاروی، گذر و بلوغ) شانه دار mnemiopsis leidyi و شاخصه های فیزیکوشیمیایی و زیستی با استفاده از مدل های مختلف بر اساس تغییرات زمانی (ماه) و مکانی (ترانسکت، ایستگاه و لایه) در امتداد سواحل مازندران طی سال 1391 ارزیابی شد. به منظور بالا بردن عملکرد مدل ها، از گونه های غالب پلانکتونی در هر فصل (90% تراکم کل) برای مدل سازی استفاده گردید. برای درک بهتر از وضعیت اکولوژیکی شانه ...
one of the most important number sequences in mathematics is fibonacci sequence. fibonacci sequence except for mathematics is applied to other branches of science such as physics and arts. in fact, between anesthetics and this sequence there exists a wonderful relation. fibonacci sequence has an importance characteristic which is the golden number. in this thesis, the golden number is observed ...
abstract the present study was conducted in order to investigate the impact of an integrated model of form-focused and task-based instruction on iranian efl learners vocabulary learning and retention.it also aimed to detect efl learners attitude towards the implementation of form-focused task-based vocabulary instruction in the classroom. in order to address the purposes of this study, a sampl...
in the new age, in regard to human success in education in the globalizing world, one can consider english proficiency and individual differences as two important issues. in efl settings, reading skill plays an important role in education. it seems that using multiple intelligences theory in efl classes which values individual differences by tapping different intelligences, can be rewarding. as...
We consider the problem of nonparametrically predicting a scalar response variable y from a functional predictor χ. We have n observations (χi, yi) and we assign a weight wi ∝ K (d(χ, χi)/h) to each χi, where d( · , · ) is a semi-metric, K is a kernel function and h is the bandwidth. Then we fit a Weighted (Linear) Distance-Based Regression, where the weights are as above and the distances are ...
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