LAUSR

Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm

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0 Published in 2018 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2016.2602263

Abstract: High dimensional biomedical datasets contain thousands of features which can be used in molecular diagnosis of disease, however, such datasets contain many irrelevant or weak correlation features which influence the predictive accuracy of diagnosis. Without… read more here.

Keywords: high dimensional; feature selection; leaping algorithm; frog leaping ... See more keywords

Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm

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0 Published in 2017 at "PLoS ONE"

DOI: 10.1371/journal.pone.0177666

Abstract: This paper proposes a combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm to detect underwater objects in sonar images. Specifically, for the first time, the problem of inappropriate filtering degree parameter which… read more here.

Keywords: quantum inspired; inspired shuffled; leaping algorithm; frog leaping ... See more keywords

ESTIMATION OF RADIATIVE PARAMETERS IN PARTICIPATING MEDIA USING SHUFFLED FROG LEAPING ALGORITHM

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0 Published in 2017 at "Thermal Science"

DOI: 10.2298/tsci150814146r

Abstract: The transient radiative transfer in one-dimensional homogeneous media with ultra-short Gaussian pulse laser irradiated was investigation by the finite volume method. The concept of optimal detection distance was proposed. The radiation characteristic was studied thoroughly.… read more here.

Keywords: radiative parameters; frog leaping; leaping algorithm; estimation radiative ... See more keywords

Using Shuffled Frog-Leaping Algorithm for Feature Selection and Fuzzy Classifier Design

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1 Published in 2019 at "Scientific and Technical Information Processing"

DOI: 10.3103/s0147688219060030

Abstract: This paper considers a new approach for designing fuzzy rule-based classifiers. To optimize the parameters of classifiers, a continuous shuffled frog-leaping algorithm is applied. On a set of constructed classifiers, the optimal classifier is selected… read more here.

Keywords: algorithm feature; using shuffled; feature selection; frog leaping ... See more keywords

A Hybrid Shuffled Frog Leaping Algorithm and Its Performance Assessment in Multi-Dimensional Symmetric Function

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1 Published in 2022 at "Symmetry"

DOI: 10.3390/sym14010131

Abstract: Ensemble learning of swarm intelligence evolutionary algorithm of artificial neural network (ANN) is one of the core research directions in the field of artificial intelligence (AI). As a representative member of swarm intelligence evolutionary algorithm,… read more here.

Keywords: function; frog leaping; shuffled frog; multi dimensional ... See more keywords