Testing trainable software components by combining genetic algorithms and backpropagation algorithms

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 6, Issue , 1996, Pages 357-362

  Chen, Junda ^a   Rine, David C ^a  

^a George Mason University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONTROL EQUIPMENT; FUZZY SETS; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; TESTING;

TRAINABLE SOFTWARE;

COMPUTER SOFTWARE;

EID: 0030308765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (10)

1. Chen, J., and Rine, D.C., (1995). A training framework to develop reusable software components by combining adaptation algorithms. Proceedings of Artificial Neural Networks In Engineering (ANNIE'95) Conference, 159-165, Sponsored by the Office of Naval Research, St. Louis, MO.
2. Karr, C.L., (1993). Fuzzy control of pH using genetic algorithms, IEEE Trans. on Fuzzy Systems, vol. 1, no. 1, 46-53.
3. Lin, C.-T. and Lee. C.S.G., (1994). Supervised and unsupervised learning with fuzzy similarity for neural network-based fuzzy logic control systems, in Fuzzy Sets, Neural Networks, and Soft Computing (R.R. Yager, and L.A. Zadeh, Eds.), Van Nostrand Reinhold, 85-125.
4. Polucarpou. M.M. and Helmicki, A.J, (1995). Automated fault detection and accommodation: a learning systems approach, IEEE Trans. on Neural Networks, vol., 25, no. 11, 1447-1458.
5. Rine, D.C., (1993). Software perfective maintenance: including retrainable software in software reuse, Information Sciences: International Journal, vol. 75.
6. Rine, D.C., Ahmed, M., and Chen, J., (1996). A reusable software adaptive fuzzy controller architecture, Proceedings of the International Conference on Software Applications, Sponsored by the ACM, Feb. 15-17.
7. Rodriguez, C., Rementería, S., Martín, J.I., Lafuente, A., Muguerza, J., and Pérez, J. (1996). A modular Neural Network approach to fault diagnosis, IEEE Trans. on Neural Networks, vol., 7, no. 2, 326-340.
8. Schultz, A., Grefenstette, J., and De Jong, K., (1993). Test and evaluation by Genetic Algorithms, IEEE Expert, Oct. 9-14.
9. Simpson, W.R., and Sheppard, J.W., (1994). System Test and Diagnosis, Kluwer Academic Publishers.
10. Thomas, M.D., and Flockton, S.J., (1994). Fault detection in a mechanical system by neural networks. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2361, 55-58.