درباره کنفرانس
چهارمین کنفرانس بین المللی محاسبات نرم در تاریخ 8 دی 1400 لغایت پنجشنبه، 9 دی، 1400 توسط دانشگاه گیلان به صورت آنلاین برگزار می شود.
محورها و حوزه‌های علمی
برگزارکنندگان
- دانشگاه گیلان
نویسندگان حاضر در این دوره
سیدمیثم موسوی
سیده حکیمه حسینی
داود درویشی سلوکلایی
مجتبی زاهدخمیرانی
مرضیه فریدی ماسوله
محمد طالقانی
Behrouz Fathi Vajargah
مجتبی مرادی
راضیه شیخ پور
همایون غفوری
Mohammad Kazemi
رحمت مدندوست
حسین علی یولداشی
Ehsan Fallahiarezoudar
مجید معتمدی
قدسی فیروز
روح الله معصومی
حمید رضا احمدی فر
وحید کیانی
حمید نصیری
فرناز برزین پور
Shayan Naghdi Khanachah
Mohammad Reza Moradi
mirmohsen pedram
مقالات این کنفرانس
Enhancing the Performance of Stochastic Iterative Projection Methods Using Quasi Random Numbers for Solving Linear Algebra Problems
Solving linear algebraic equations SLAE is significantly important in many science and engineering areas…
Fuzzy Relations on Modules under T-norms
this paper, as using T norms, we define fuzzy relation on modules and investigate some properties of the…
Genetic Algorithm applied to optimization problems with fuzzy coefficient matrix
In general, conventional methods for solving fuzzy nonlinear programming problems are not practical; bec…
Green Supplier Selection: A Fuzzy-TOPSIS Approach
This study develops an integrated approach for green Supplier Selection Problem SSP of a polymer manufac…
Improving Bat Algorithm Using Clustering
Bat algorithm BA is a new and promising metaheuristic search algorithm which could outperform existing a…
Infinite Multi-Label Feature Selection
Multi label feature selection deals with the problem of dimensionality reduction of data in which an ins…
Jacobsthal-Leonardo Sequence, Some Identities and Summation Formulas
In this paper we introduce a particular number sequence, namely Jacobsthal Leonardo sequence that is a c…
Numerical Solution Nonlinear Fourth-Order Boundary Value Problems by Non-Polynomial Spline
We use non polynomial spline to develop numerical methods for the solution of the fourth order linear an…
Numerical solution of fuzzy interval-valued regression model by neural network
In this paper, a fuzzy linear regression model with triangular interval valued fuzzy output and inputs i…
On Algorithm for Restricted Maximum Likelihood Estimation Under Tree Order Constraint
Maximum likelihood estimation under order restrictions on parameters is of interest for various problems…
Optimizing the flow of knowledge sharing in the supply chain using metaheuristic algorithm
Applying knowledge management in the supply chain is one of the most important issues that leads to incr…
Order acceptance in a cellular manufacturing system considering earliness and tardiness penalty
Deciding whether to accept a new order is a very important issue in all production systems, which can pl…
Predicting Students’ “Passing or Failing” Status with the Utilization of Motivational Factors by Machine Learning Methods
Though motivation as an educational technique has long been introduced to pedagogy in general and langua…
Provide a Combined Approach the Capsule Net and BI-GRU to Multi-Domain Sentiment Analysis
Sentiment analysis is a computational analysis of ideas, feelings and opinions, and uses natural languag…
Robust Analysis of Time Series
Singular Spectrum Analysis SSA is a powerful and widely used non parametric method to analyze and foreca…
Solving fuzzy polynomial regression model with neural network
Polynomial regression as a special case of multiple linear regression is considered A fuzzy version of t…
The Effect of Interlayer Thickness on The Asymmetric InP-based Laser Performance
The InP based laser diodes with asymmetric waveguide structure are theoretically designed using simulati…
Transferring a person’s mind vision to another person
For cooperative works and trainings like sports, relief and rescue, police and army, surgery and every p…
Triangular functions method for numerical solution of fractional Mathieu equation
Fractional differential equations FDEs have recently attracted much attention Fractional Mathieu equatio…
Tsallis Entropy for Deep Transfer Learning and Domain Adaptation
In this research, we propose Tsallis entropy for deep transfer learning as an efficient and flexible met…