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Disambiguation of "Kuo, Ren-Jieh"

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Integration of artificial immune network and K-means for cluster analysis.

, , , and . Knowl. Inf. Syst., 40 (3): 541-557 (2014)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Weibo Ren University of Stuttgart

Anja Rentz University of Stuttgart

Ulrich Rentschler University of Stuttgart

Dr. -Ing. Jörg Renner University of Stuttgart

Sylvia Rendsburg University of Stuttgart

 

Other publications of authors with the same name

Automated thermal fuse inspection using machine vision and artificial neural networks., , , and . J. Intelligent Manufacturing, 27 (3): 639-651 (2016)Application of particle swarm optimization algorithm for adjusting project contingencies and response strategies under budgetary constraints., , and . Computers & Industrial Engineering, (2019)Application of metaheuristic based fuzzy K-modes algorithm to supplier clustering., , and . Computers & Industrial Engineering, (2018)Application of an artificial immune system-based fuzzy neural network to a RFID-based positioning system., , , and . Computers & Industrial Engineering, 63 (4): 943-956 (2012)Hybrid of artificial immune system and particle swarm optimization-based support vector machine for Radio Frequency Identification-based positioning system., , , and . Computers & Industrial Engineering, 64 (1): 333-341 (2013)Solving bi-level linear programming problem through hybrid of immune genetic algorithm and particle swarm optimization algorithm., , , and . Applied Mathematics and Computation, (2015)Integration of artificial immune network and K-means for cluster analysis., , , and . Knowl. Inf. Syst., 40 (3): 541-557 (2014)Application of a two-stage fuzzy neural network to a prostate cancer prognosis system., , , , and . Artificial Intelligence in Medicine, 63 (2): 119-133 (2015)An application of a metaheuristic algorithm-based clustering ensemble method to APP customer segmentation., , , and . Neurocomputing, (2016)Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction., , , and . Knowl. Inf. Syst., 55 (1): 253-274 (2018)