Paper
16 September 1992 Neural module for real-time simultaneous discrimination and locking on different temporal series in noisy environment
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Abstract
After a short discussion on the problems related to the higher order correlations treatment in Hopfield neural net, we propose a modified architecture able to rearrange dynamically its topology in function of the input representation. The relations of this problem with computability problems are briefly considered, particularly in view of avoiding exponential time in computation. Some experimental results are shown for the recognition of particle traces in high energy accelerators and in speaker independent speed recognition.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio Luigi Perrone, Gianfranco Basti, and Alessandro Chiavoni "Neural module for real-time simultaneous discrimination and locking on different temporal series in noisy environment", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.139969
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Cited by 2 scholarly publications.
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KEYWORDS
Neurons

Neural networks

Particles

Artificial neural networks

Detection and tracking algorithms

Calculus

Scattering

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