Results 61 to 70 of about 1,398,187 (332)
Modified Floating Search Feature Selection Based on Genetic Algorithm
MATEC Web of Conferences, 2018 Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
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Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers [PDF]
مجلة التربية والعلم, 1970 This work involves the use some of Artificial intelligence techniques algorithms which are genetic algorithm and artificial immune system algorithm- clonal selection algorithm.
Maha Mohammed
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A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection
IEEE Access, 2018 Feature selection is an important research area for big data analysis. In recent years, various feature selection approaches have been developed, which can be divided into four categories: filter, wrapper, embedded, and combined methods.
Xiao-Ying Liu +4 more
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Genetic Algorithm for variable selection
, 2022 This study aims to explore the coding of GA for variable selection. The selected variables will be later used to build a linear regression model and then report model performance. The study will consider three simple variations of GA based on population size (20, 50, 200) and then plot graphs to show whether any of these variations performed better ...
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Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
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Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection
IEEE Access, 2019 Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event.
Ching Sheng Ooi +2 more
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Research On Energy-saving Operation Of High-speed Trains Based On Improved Genetic Algorithm
Journal of Applied Science and Engineering, 2022 The traditional genetic algorithm has been widely used in energy-saving optimization of train operation, but due to the uncertainty of the evolution direction of it’s population chromosomes, it has caused some problems such as a large amount of local ...
Hongxia Niu, Tao Hou, Yu Chen
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Hybrid Based Selective Genetic Algorithm
International Journal of Engineering Research and Advanced Technology, 2022 Wireless Sensor Network WSN deployment is an active research area. Its goal is to deploy sensors in certain environment efficiently to optimize some evaluation measures. Meta heuristic searching optimization approaches have been proven to be effective in solving WSN deployment problem. They have strong power in exploring
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Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
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Biology, 2023 Microsatellites are polymorphic and cost-effective. Optimizing reduced microsatellite panels using heuristic algorithms eases budget constraints in genetic diversity and population genetic assessments.
Ryan Rasoarahona +13 more
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