Augmentation of Current Verification and Validation Practices

Methods and Procedures for the Verification and Validation of Artificial Neural Networks(2006)

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摘要
This chapter has revealed several gaps in current V&V practices for adaptive systems, and has shown augmentations to traditional V&V processes to satisfy these gaps. Through the mapping of software V&V standards, process guidance, previous research, and IFCS documentation, a guidance document was formulated to augment current V&V practices to accommodate the characteristics of neural networks or adaptive systems. The guidance document [ISR 2005] embodies a comprehensive methodology for the V&V of neural networks and gives the V&V practitioner direction on how to augment established V&V processes to address neural networks or adaptive components within a system.
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