Role of neural networks for avionics

Christopher L. Bowman; Mark R. DeYong; Thomas C. Eskridge

doi:10.1117/12.217365

23 August 1995 Role of neural networks for avionics

Christopher L. Bowman, Mark R. DeYong, Thomas C. Eskridge

Proceedings Volume 2566, Advanced Imaging Technologies and Commercial Applications; (1995) https://doi.org/10.1117/12.217365
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

Neural network (NN) architectures provide a thousand-fold speed-up in computational power per watt along with the flexibility to learn/adapt so as to reduce software life-cycle costs. Thus NNs are posed to provide a key supporting role to meet the avionics upgrade challenge for affordable improved mission capability especially near hardware where flexible and powerful smart processing is needed. This paper summarizes the trends for air combat and the resulting avionics needs. A paradigm for information fusion and response management is then described from which viewpoint the role for NNs as a complimentary technology in meeting these avionics challenges is explained along with the key obstacles for NNs.

Citation Download Citation

Christopher L. Bowman, Mark R. DeYong, and Thomas C. Eskridge "Role of neural networks for avionics", Proc. SPIE 2566, Advanced Imaging Technologies and Commercial Applications, (23 August 1995); https://doi.org/10.1117/12.217365

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