Connectionist approach to adaptive reasoning

Mohan S. Reddy; Abhijit S. Pandya; D. V. Reddy

doi:10.1117/12.211816

13 June 1995 Connectionist approach to adaptive reasoning

Mohan S. Reddy, Abhijit S. Pandya, D. V. Reddy

Proceedings Volume 2493, Applications of Fuzzy Logic Technology II; (1995) https://doi.org/10.1117/12.211816
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper illustrates the neural net approach to constructing a fuzzy logic decision system. This technique employs an artificial neural network (ANN) to recognize the relationships that exist between the various inputs and outputs. An ANN is constructed based on the variable present in the application. The network is trained and tested. After successful testing, the ANN is exposed to new data and the results are grouped into fuzzy membership sets. This data grouping forms the basis of a new ANN. The network is now trained and tested with the fuzzy membership data. New data is presented to the trained network and the results from the fuzzy implications. This approach is used to compute skid resistance values from G-analyst accelerometer readings on open grid bridge decks.

Citation Download Citation

Mohan S. Reddy, Abhijit S. Pandya, and D. V. Reddy "Connectionist approach to adaptive reasoning", Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); https://doi.org/10.1117/12.211816

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