Guidance for the Verification and Validation of Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Guidance for the Verification and Validation of Neural Networks write by Laura L. Pullum. This book was released on 2007-03-09. Guidance for the Verification and Validation of Neural Networks available in PDF, EPUB and Kindle. This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Methods and Procedures for the Verification and Validation of Artificial Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methods and Procedures for the Verification and Validation of Artificial Neural Networks write by Brian J. Taylor. This book was released on 2006-03-20. Methods and Procedures for the Verification and Validation of Artificial Neural Networks available in PDF, EPUB and Kindle. 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.
Verification and Validation of Neural Networks for Aerospace Systems
Verification and Validation of Neural Networks for Aerospace Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Verification and Validation of Neural Networks for Aerospace Systems write by . This book was released on 2002. Verification and Validation of Neural Networks for Aerospace Systems available in PDF, EPUB and Kindle.
Safety of the Intended Functionality
Safety of the Intended Functionality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Safety of the Intended Functionality write by Juan Pimentel. This book was released on 2019-03-07. Safety of the Intended Functionality available in PDF, EPUB and Kindle. Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Safety of the Intended Functionality (SOTIF) addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include the system engineering management approach and redundancy technical approach to safety. As the third title in a series on automated vehicle safety, this contains introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.
Computational Intelligence in Automotive Applications
Computational Intelligence in Automotive Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence in Automotive Applications write by Danil Prokhorov. This book was released on 2008. Computational Intelligence in Automotive Applications available in PDF, EPUB and Kindle. This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.
