Neural Networks Based Approach to Enhance Space Hardware Reliability
Ricardo Salem Zebulum, A. P. Thakoor, Thomas T. Lu, Lauro Franco, Tsung H. Lin, Steven S. McClure · NASA Technical Reports Server (NASA) · 2011
This paper demonstrates the use of Neural Networks as a device modeling tool to increase the reliability analysis accuracy of circuits targeted for space applications. The paper tackles a number of case studies of relevance to the design of Flight hardware. The results show that the proposed technique generates more accurate models than the ones regularly used to model circuits.