TY - GEN digital ID - 131713577 TI - Applications of Neural Networks in High Assurance Systems AU - Schumann, Johann M.Ph AU - Liu, Yan PY - 2010 SN - 9783642106903 9783642106910 9783642106897 9783642262692 PB - Berlin, Heidelberg Springer DB - UniCat KW - Methodology of economics KW - Mathematics KW - Applied physical engineering KW - Transport engineering KW - Engineering sciences. Technology KW - Production management KW - Business management KW - Business economics KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - ICT (informatie- en communicatietechnieken) KW - financieel management KW - toegepaste wiskunde KW - economie KW - productie KW - motorrijtuigen KW - wiskunde KW - KI (kunstmatige intelligentie) KW - ingenieurswetenschappen KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131713577 AB - "Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems. ER -