Methods and Procedures for the Verification and Validation of Artificial Neural Networks is popular PDF and ePub book, written by Brian J. Taylor in 2006-03-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Methods and Procedures for the Verification and Validation of Artificial Neural Networks can be Read Online from any device for your convenience.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks Book PDF Summary
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
Detail Book of Methods and Procedures for the Verification and Validation of Artificial Neural Networks PDF
- Author : Brian J. Taylor
- Release : 20 March 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387294858
- Genre : Computers
- Total Page : 280 pages
- Language : English
- PDF File Size : 19,5 Mb
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