Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning In IndustryISBN13:9783030758462ISBN10:303075846XAuthor:Datta, Shubhabrata (Editor), Davim, J. Paulo (Editor)Description:Fundamentals Of Machine Learning - Neural Network Model Identification Studies To Predict Residual Stress Of A Steel Plate Based On A Non-Destructive Barkhausen Noise Measurement - Data Driven Optimization Of Blast Furnace Iron Making Process Using Evolutionary Deep Learning - A Brief Appraisal Of Machine Learning In Industrial Sensing Probes - Mining The Genesis Of Sliver Defects Through Rough And Fuzzy Set Theories Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-09-13Weight:0 lbsDimensions:Number of Pages:290Language:English
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Book Title: Machine Learning in Industry
Item Length: 9.3in
Item Width: 6.1in
Author: J. Paulo Davim
Format: Hardcover
Language: English
Topic: Industrial Engineering, Probability & Statistics / General, Intelligence (Ai) & Semantics
Publisher: Springer International Publishing A&G
Publication Year: 2021
Genre: Technology & Engineering, Computers, Mathematics
Item Weight: 17 Oz
Number of Pages: X, 197 Pages
