نتایج جستجو برای: multiple linear regression pso
تعداد نتایج: 1414892 فیلتر نتایج به سال:
The life expectancy and load capacity of oil-immersed power transformers are intimately associated with the winding hot spot temperature (HST). Thus, accurately predicting HSTs is essential in evaluating the life expectancy of power transformers and in preventing thermal failure. Previously, support vector machine (SVM) has been successfully employed to solve the regression problem of nonlinear...
In this research work, a practical new hybrid model to predictthe successful growth cycle of Spirulina platensis was proposed. Themodel was based on particle swarm optimization (PSO) in combina-tion with support vector machines (SVM). This optimization mecha-nism involved kernel parameter setting in the SVM training procedure,which significantly influences the regression...
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...
The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...
aim : to determine the associated factors of reflux duration, using quantile regression model. background : reflux is one of the most prevalent gastrointestinal disorders. statistical tools are widely used to assess the associated factors on reflux severity and frequency. patients and methods : a door to door questionnaire has been used to evaluate gastrointestinal symptoms including reflux an...
In this paper, we have studied the analysis an interval linear regression model for fuzzy data. In section one, we have introduced the concepts required in this thesis and then we illustrated linear regression fuzzy sets and some primary definitions. In section two, we have introduced various methods of interval linear regression analysis. In section three, we have implemented nu...
A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID) based on particle swarm optimization (PSO) algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW), Linear Descend Inertia Weight (L...
The use of advanced knowledge of reference can improve the tracking quality and performance of transient response of a control system and the systems using such information are called preview control systems. This paper explains the implementation of preview control methodology available in literature, i.e. DARE and LMI-based approaches for a non-linear system. The design of a multi-objective p...
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