نتایج جستجو برای: genetic algorithm multiple linear regression
تعداد نتایج: 2493640 فیلتر نتایج به سال:
improvement of one trait on its own will affect the performance of other traits because ofgenotypic correlations between traits. index selection is one of the tools used by plant breedersto overcome this problem. the purpose of this paper is to evaluate selection indices developedfor improving grain yield in rice (oryza sativa l.). forty-nine rice genotypes were cultivated attonekabon rice rese...
The requirement of varying doses of warfarin for different individuals can be explained by environmental and genetic factors. We evaluated the frequency of vitamin K epoxide reductase complex subunit 1 (VKORC1) and cytochrome P450 2C9 (CYP2C9) variants together with patientdemographic characteristics and investigated their association with warfarin dose requirement with the ob...
The IL-1β play a major role in inflammatory disorders and IL-1β production inhibitors can be used in the treatment of inflammatory and related diseases. In this study, quantitative relationships between the structures of 46 pyridazine derivatives (inhibitors of IL-1β production) and their activities were investigated by Multiple Linear Regression (MLR) technique Stepwise Regression Method (ES-S...
Increasing economy’s resistance against the menace of sanctions, various risks, shocks, and internal and external threats are one of the main national policies which can be implemented through bank investments. Investment project selection is a complex and multi-criteria decision-making process that is influenced by multiple and often some conflicting objectives. This paper studies portfolio inve...
In this study, the temperature in friction stir welding of duplex stainless steel has been investigated. At first, temperature estimation was modeled and estimated at different distances from the center of the stir zone by the multivariate Lagrangian function. Then, the linear extrapolation method and multiple linear regression method were used to estimate the temperature outside the range and ...
Logistic regression is employed to search the optimal combination of multiple markers that can discriminate ovarian cancers from benign by Luminex assay test of the patient sera. To verify the selection performance, three other classification methods were also tested including t-test, genetic algorithm, and random forest. The chosen combinations from each of the four methods were evaluated agai...
Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...
We give a classical algorithm for linear regression analogous to the quantum matrix inversion [Harrow, Hassidim, and Lloyd, Physical Review Letters'09, arXiv:0811.3171] low-rank matrices [Wossnig, Zhao, Prakash, Letters'18, arXiv:1704.06174], when input $A$ is stored in data structure applicable QRAM-based state preparation. Namely, suppose we are given an $A \in \mathbb{C}^{m\times n}$ with mi...
the purpose of this work is to promote and facilitate forensic profiling and chemical analysis of illicit drug samples in order to determine their origin, methods of production and transfer through the country. the article is based on the gas chromatography analysis of heroin samples seized from three different locations in serbia. chemometric approach with appropriate statistical tools (multip...
In this study, the temperature in friction stir welding of duplex stainless steel has been investigated. At first, temperature estimation was modeled and estimated at different distances from the center of the stir zone by the multivariate Lagrangian function. Then, the linear extrapolation method and multiple linear regression method were used to estimate the temperature outside the range and ...
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