Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/357556
Title: | An analytical approach on the approximations of deep neural network for classification functions in fuzzy domain |
Researcher: | Linu Pinto |
Guide(s): | Sasi Gopalan |
Keywords: | Deep Neural Network Fuzzy Domain Mathematics Mathematics Applied Physical Sciences |
University: | Cochin University of Science and Technology |
Completed Date: | 2021 |
Abstract: | newline |
Pagination: | 130 |
URI: | http://hdl.handle.net/10603/357556 |
Appears in Departments: | Department of Mathematics |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 115.54 kB | Adobe PDF | View/Open |
02_certificate.pdf | 159.27 kB | Adobe PDF | View/Open | |
03_content.pdf | 184.65 kB | Adobe PDF | View/Open | |
04_chapter1.pdf | 1.98 MB | Adobe PDF | View/Open | |
05_chapter2.pdf | 446.44 kB | Adobe PDF | View/Open | |
06_chapter3.pdf | 718.68 kB | Adobe PDF | View/Open | |
07_chapter4.pdf | 391.98 kB | Adobe PDF | View/Open | |
08_chapter5.pdf | 1.93 MB | Adobe PDF | View/Open | |
09_chapter6.pdf | 121.65 kB | Adobe PDF | View/Open | |
10_bibliography.pdf | 95.49 kB | Adobe PDF | View/Open | |
11_index.pdf | 100.48 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 209.31 kB | Adobe PDF | View/Open |
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