نتایج جستجو برای: genetic algorithm multiple linear regression
تعداد نتایج: 2493640 فیلتر نتایج به سال:
blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...
This paper presents a new method for regression model prediction in an uncertain environment. In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable. Therefore, the estimated response of the process is also the average of a set of output values where th...
هدف این پروژه تخمین معادلاتی برای این نوع صفحات می باشد، که ضرایب شدت تنش و تمرکز تنش و مقادیر j-integral و سایر پارامترهای کنترلی را بر حسب هندسه شکل بیان می کنند. این معادلات از طریق تحلیلهای ترک بوسیله نرم افزار المان محدود ansys و با استفاده از روش non linear regression method به دست آمده اند و در نهایت منجر به معادلاتی می شوند که با داشتن ضریب تمرکز تنش (از یک تحلیل الاستیک ساد...
Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm
using monthly test day records the genetic parameters of iranian holstein cattle in first lactation were studied. data of 277400 test-day milk records from 65320 cows and 2210 sires were analyzed by an animal random regression model using restricted maximum likelihood methodology. the model included herd-test-date, interaction between year-season of calving, days in milk (linear and quadratic) ...
this paper presents the hardware simulation (based on vhdl code) of a multiple-fault tolerant cellular genetic algorithm. this study aims to increase the immunity of cellular genetic algorithm in multiple-fault situation. here, multiple-fault refers to the situation that seu (single event upset) occurs simultaneously at two or more bits of the chromosome and fitness registers. the fault model i...
Genetic Algorithm (GA) is a calculus free optimization technique based on principles of natural selection for reproduction and various evolutionary operations such as crossover, and mutation. Various steps involved in carrying out optimization through GA are described. Three applications, viz. finding maximum of a mathematical function, obtaining estimates for a multiple linear regression model...
In ordinary statistical methods, multiple outliers in multiple linear regression model are detected sequentially one after another, where smearing and masking effects give misleading results. If the potential multiple outliers can be detected simultaneously, smearing and masking effects can be avoided. Such multiple-case outlier detection is of combinatorial nature and sets of possible outliers...
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