Application of Neural Networks in High Assurance Systems: A Survey

@inproceedings{Schumann2010ApplicationON,
  title={Application of Neural Networks in High Assurance Systems: A Survey},
  author={J. Schumann and P. Gupta and Y. Liu},
  booktitle={Applications of Neural Networks in High Assurance Systems},
  year={2010}
}
  • J. Schumann, P. Gupta, Y. Liu
  • Published in
    Applications of Neural…
    2010
  • Engineering, Computer Science
  • Artificial Neural Networks (ANNs) are employed in many areas of industry such as pattern recognition, robotics, controls, medicine, and defence. Their learning and generalization capabilities make them highly desirable solutions for complex problems. However, they are commonly perceived as black boxes since their behavior is typically scattered around its elements with little meaning to an observer. The primary concern in safety critical systems development and assurance is the identification… CONTINUE READING
    16 Citations
    Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study
    • 1
    • Highly Influenced
    • PDF
    On the Safety of Automotive Systems Incorporating Machine Learning Based Components: A Position Paper
    • 6
    • Highly Influenced
    On the Evaluation Measures for Machine Learning Algorithms for Safety-Critical Systems
    • 1
    The assurance of Bayesian networks for mission critical systems
    Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
    • 27
    • PDF
    Explicit Image Quality Detection Rules for Functional Safety in Computer Vision
    • 5
    • Highly Influenced
    • PDF

    References

    SHOWING 1-10 OF 66 REFERENCES
    Validating a neural network-based online adaptive system
    • 7
    Performance Estimation of a Neural Network-Based Controller
    • 3
    • PDF
    Tools and Methods for the Verification and Validation of Adaptive Aircraft Control Systems
    • 9
    • PDF
    Industrial use of safety-related artificial neural networks
    • 38
    • Highly Influential
    • PDF
    Foundation for neural network verification and validation
    • G. Peterson
    • Computer Science, Engineering
    • Defense, Security, and Sensing
    • 1993
    • 14
    Adaptive control software: can we guarantee safety?
    • 23
    Intelligent systems in the automotive industry: applications and trends
    • 59
    • PDF
    A deployed engineering design retrieval system using neural networks
    • 27
    • PDF
    Application of Neural Networks in Power Systems; A Review
    • 83
    • PDF