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Methods and Procedures for the Verification and Validation of Artificial Neural Networks (Hb)

Discover essential methods and procedures for the verification and validation of Artificial Neural Networks with this comprehensive hardcover book from Springer. Ideal for researchers, engineers, and students, this publication delves into the critical processes required to ensure the reliability and accuracy of ANNs. Understand how to rigorously test and confirm the performance of complex neural network systems. Essential reading for anyone involved in the development, deployment, or auditing of AI and machine learning technologies. Enhance your understanding of ANN assurance and build trust in AI applications. This 2006 edition offers foundational knowledge and practical insights. Available now at The Bookish Owl.

Description

  • ISBN-10: 9780387282886
  • ISBN-13: 978-0387282886
  • Edition: 2006th
  • Publisher: SPRINGER
  • Publication date: 1 January 2006
  • Language: English
  • Dimensions: 15.6 x 1.75 x 23.39 cm
  • Print length: 278 pages