Hamiltonian neural nets as a universal signal processor /
SIENKO, Wiesław. Politechnika Koszalińska - Wydział Elektroniki, Katedra Telekomunikacji 1993 - 2003.
Hamiltonian neural nets as a universal signal processor / Wiesław Sienko, Wiesław M. Citko. - 2002.
Dane z Informatora o publikowanych wynikach prac naukowo-badawczych w 2002 roku Wydziału Elektroniki.
This paper presents how to find an architecture for very large scale lossless neural nets, which can be used as Haar-Walsh spectrum analyzers. This analysis relies on the orthogonality of weight matrices W, where W could be Hurwitz-Radon matrices. The unique featrue of these nets is the possibility to treat them either as algorithms or as Hamiltonian physical objects (Haar-Walsh Signal Processors).
Hamiltonian neural nets as a universal signal processor / Wiesław Sienko, Wiesław M. Citko. - 2002.
Dane z Informatora o publikowanych wynikach prac naukowo-badawczych w 2002 roku Wydziału Elektroniki.
This paper presents how to find an architecture for very large scale lossless neural nets, which can be used as Haar-Walsh spectrum analyzers. This analysis relies on the orthogonality of weight matrices W, where W could be Hurwitz-Radon matrices. The unique featrue of these nets is the possibility to treat them either as algorithms or as Hamiltonian physical objects (Haar-Walsh Signal Processors).