Type of Material: | Thesis |
Title: | Design of Nature-inspired hybrid algorithms for training the radial basis function neural Network and optimal feature selection |
Researcher: | Mahapatra, Ajit Kumar |
Guide: | Pattanayak, Binod Kumar |
Department: | Faculty of Engineering and Technology |
Publisher: | Siksha O Anusandhan University |
Place: | Bhubaneshwar |
Year: | 2023 |
Language: | English |
Subject: | Neural network | Computer Science and Applications | Engineering and Technology |
Dissertation/Thesis Note: | PhD; Faculty of Engineering and Technology, Siksha O Anusandhan University, Bhubaneshwar; 2023; 1981001008 |
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100 | __ | |aMahapatra, Ajit Kumar|eResearcher |
110 | __ | |aFaculty of Engineering and Technology|bSiksha O Anusandhan University|dBhubaneshwar|ein|0U-0363 |
245 | __ | |aDesign of Nature-inspired hybrid algorithms for training the radial basis function neural Network and optimal feature selection |
260 | __ | |aBhubaneshwar|c2023|bSiksha O Anusandhan University |
502 | __ | |bPhD|cFaculty of Engineering and Technology, Siksha O Anusandhan University, Bhubaneshwar|d2023|o1981001008 |
518 | __ | |oDate of Notification|d2023-12-28 |
650 | __ | |aComputer Science and Applications|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aNeural network |
700 | __ | |aPattanayak, Binod Kumar|eGuide |
905 | __ | |anotification |
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