1.An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm

作　　者：Rasmita Dash ;Rajashree Dash ;Rasmita Rautray

出　　处：Journal of King Saud University @?C Computer and Information Sciences. 2019 ;:1-12.doi:10.1016/j.jksuci.2019.04.002

出版社：Elsevier

文章 ID：245738958

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2.Utility of a Shuffled Differential Evolution algorithm in designing of a Pi-Sigma Neural Network based predictor model

作　　者：Rajashree Dash ;Rasmita Rautray ;Rasmita Dash

出　　处：Applied Computing and Informatics. 2019 ;:1-11.doi:10.1016/j.aci.2019.04.001

出版社：Elsevier

文章 ID：245802846

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3.Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach

作　　者：Ajit Kumar Rout ;P.K. Dash ;Rajashree Dash 等

出　　处：Journal of King Saud University @?C Computer and Information Sciences. 2017 ;29(4):536-552.doi:10.1016/j.jksuci.2015.06.002

出版社：Elsevier

文章 ID：201954690

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4.Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection

作　　者：Rasmiranjan Mohakud ;Rajashree Dash

出　　处：Journal of King Saud University @?C Computer and Information Sciences. 2022 ;34(8):6280-6291.

出版社：Elsevier

文章 ID：1039072722

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5.An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm

作　　者：Rasmita Dash ;Rajashree Dash ;Rasmita Rautray

出　　处：Journal of King Saud University @?C Computer and Information Sciences. 2022 ;34(3):880-891.

出版社：Elsevier

文章 ID：1037238963

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