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Machine Learning in Industry|Shubhabrata Datta

Machine Learning in Industry

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Overview

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.

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Details

  • ISBN-13: 9783030758462
  • ISBN-10: 303075846X
  • Publisher: Springer
  • Publish Date: July 2021
  • Dimensions: 9.21 x 6.14 x 0.5 inches
  • Shipping Weight: 1.03 pounds
  • Page Count: 197

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