DocumentCode :
2261435
Title :
Neural net approach for passive RLCT network synthesis
Author :
Kim, J.S. ; Singh, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
fYear :
1993
fDate :
16-18 Aug 1993
Firstpage :
600
Abstract :
Neural network for passive RLCT synthesis has been proposed. The algorithm is an alternative to the state-space synthesis from the transfer function matrices. Single layer neural net and HROM (heuristic random optimization) algorithm have been used
Keywords :
circuit CAD; circuit optimisation; lumped parameter networks; neural nets; passive networks; state-space methods; CAD; heuristic random optimization algorithm; passive RLCT network synthesis; single layer neural net; Algorithm design and analysis; Computer networks; Heuristic algorithms; Impedance; Laplace equations; Network synthesis; Neural networks; Passive networks; Symmetric matrices; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
Type :
conf
DOI :
10.1109/MWSCAS.1993.342974
Filename :
342974
Link To Document :
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