Validating neural network-based online adaptive systems: a case study

Author:

Liu Yan,Cukic Bojan,Gururajan Srikanth

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference24 articles.

1. Boyd, M. A., Schumann, J., Brat, G., Giannakopoulou, D., Cukic, B.,& Mili, A. (2001). Validation and verification process guide for software and neural nets, Technical report, NASA Ames Research Center, September.

2. Bruske, J. & Sommer, G. (1995). Dynamic cell structure learns perfectly topology preserving map. Neural Computation, 7(4) 845–865.

3. Darrah, M., Taylor, B., & Skias, S. (2004). Rule extraction from dynamic CEll structure neural networks used in a safety critical application. In Proc. of the Seventeenth International Conference of the Florida Artificial Intelligence Research Society, Miami Beach, FL, USA, September 2004.

4. Del Gobbo, D., & Cukic, B. (2001). Validating on-line neural networks. Technical report, Lane department of computer science and electrical engineering, West Virginia University, December 2001.

5. Institute of Software Reseach. (2001). Dynamic cell structure neural network report for the intelligent flight control system, Technical report, Document ID: IFC-DCSR-D002-UNCLASS-010401, January 2001.

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