Learning neural networks for detection and classification of synchronous recurrent transient signals

DOI10.1016/S0165-1684(97)00193-XzbMath0893.94040OpenAlexW2054474683WikidataQ56992366 ScholiaQ56992366MaRDI QIDQ1129218

Jeffrey Krolik, Kerem Harmancı, Erol Gelenbe

Publication date: 13 August 1998

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(97)00193-x

zbMATH Keywords

neural networksoptimum detectionsynchronous signals

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Related Items (6)

FESTSCHRIFT FOR EROL GELENBE'S 70TH BIRTHDAY ⋮ PRODUCT-FORM IN G-NETWORKS ⋮ DETECTING NETWORK-UNFRIENDLY MOBILES WITH THE RANDOM NEURAL NETWORK ⋮ Random Neural Networks with Synchronized Interactions ⋮ Reinforcement learning with internal expectation for the random neural network ⋮ Survey of random neural network applications

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