genetic algorithm (ga) function (MathWorks Inc)
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genetic algorithm (ga) function
Genetic Algorithm (Ga) Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genetic+algorithm+function+ga/pm40241290-125-8-12
Average 90 stars, based on 1 article reviews
Genetic Algorithm (Ga) Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genetic+algorithm+function+ga/pm40241290-125-8-12
Average 90 stars, based on 1 article reviews
genetic algorithm (ga) function - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter Article Snippet: Initially, the parameter values were estimated using Article Title: Assessment, Categorisation and Prediction of the Landslide-Affected Regions Using Soft Computing and Clustering Techniques Article Snippet: Landslides are known natural hazard that significantly impacts human lives by damaging assets and infrastructures.. It is tough to collect field data due to the non-access of various remote places.. Collection of landslide images affected by those faraway places can be a way out for post-landslide assessment. Article Title: Evaluating the impact sequences of operation have on the implementation of occupant-centric controls Article Snippet: In order to develop an ASHRAE Guideline 14–2014 compliant calibrated energy model, unknown envelope properties and operational parameters, see , were estimated using Article Title: Development of new media formulations for cell culture operations based on regression models. Article Snippet: The paper discusses modelling and optimization of multi-component cell culture medium.. The specific productivity (Qp) was considered a function of the medium components and possible interactions described by linear factors, two-way interactions and squared terms that results in a high dimensional problem where the number of variables p (represented by the medium components and their interactions) is much larger than the number of observations n. Principal Components Regression (PCR), Partial Least Squares (PLS), Lasso and Elastic Net regressions were compared as modelling tools to deal with a high dimensional n < p problem.. PCR and PLS regression models resulted in better prediction results and were used for robust optimization of the medium composition by a nonlinear optimization. Article Title: Theory and inverse design of microperforated panels comprising arbitrary axial pore profiles for broadband low-frequency sound absorption Article Snippet: Hence, we used the Article Title: Dopamine-mediated interactions between short- and long-term memory dynamics Article Snippet: Article Title: Influence of pH on the kinetics of hydrolysis reactions: the case of epichlorohydrin and glycidol Article Snippet: Namely, using the genetic algorithm (function ga) coupled with the Dissolution:Article Title: Optimization of Amorphization Kinetics during Hot Melt Extrusion by Particle Engineering: An Experimental and Computational Study Article Snippet: Hot melt extrusion (HME) to prepare amorphous solid dispersions (ASDs) at temperatures below the drug’s melting point requires the crystalline drug to dissolve into the molten polymer.. This requires an understanding of the drug’s solubility in the molten polymer as well as amorphization (crystal dissolution) kinetics.. The goal of this study was to identify drug crystal attributes which contribute to rapid amorphization during hot melt extrusion processing to form ASDs. |