Signal Processing and Neural Network Simulator

Dennis L. Tebbe; Thomas J. Billhartz; John R. Doner; Timothy T. Kraft

doi:10.1117/12.205166

6 April 1995 Signal Processing and Neural Network Simulator

Dennis L. Tebbe, Thomas J. Billhartz, John R. Doner, Timothy T. Kraft

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205166
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The signal processing and neural network simulator (SPANNS) is a digital signal processing simulator with the capability to invoke neural networks into signal processing chains. This is a generic tool which will greatly facilitate the design and simulation of systems with embedded neural networks. The SPANNS is based on the Signal Processing WorkSystem^TM (SPW^TM), a commercial-off-the-shelf signal processing simulator. SPW provides a block diagram approach to constructing signal processing simulations. Neural network paradigms implemented in the SPANNS include Backpropagation, Kohonen Feature Map, Outstar, Fully Recurrent, Adaptive Resonance Theory 1, 2, & 3, and Brain State in a Box. The SPANNS was developed by integrating SAIC's Industrial Strength Neural Networks (ISNN) Software into SPW.

Citation Download Citation

Dennis L. Tebbe, Thomas J. Billhartz, John R. Doner, and Timothy T. Kraft "Signal Processing and Neural Network Simulator", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205166

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