April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Chapter 22: Hybrid deep learning neuro-fuzzy networks for industrial parameters estimation
K. Sujathaa; G. Nalinashinib; R.S. Ponmagalc; A. Ganesand; A. Kalaivanie; Rajeswary Harif a Department of Electrical and Electronics Engineering, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, Indiab Department of EIE, RMD Engineering College, Chennai, Tamil Nadu, Indiac Department of CSE, School of Computing, SRM Institute of Science & Technology, Kattankulathur, Chennai, Tamil Nadu, Indiad Department of EEE, RRASE College of Engineering, Chennai, Tamil Nadu, Indiae Department of CSE, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, Indiaf Department of Biotechnology, Dr. MGR Educational & Research Institute, Chennai, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.