000 01890nab a22002297i 4500
003 KOSZ 005
005 20170308112710.0
008 160308s1992 ||||| ||||0|| ||eng
035 _aPBN-R:351377
040 _cKOSZ 005/md
_aPBN-ID
041 0 _aeng
_beng
100 _aWAWRYN, Krzysztof.
_d1980 - 1996.
_bWyższa Szkoła Inżynierska w Koszalinie - Wydział Mechaniczny,
_cZakład Elektroniki
245 1 0 _aAn artificial intelligence approach to active filter synthesis /
_cKrzysztof Wawryn.
260 _c1992.
520 _aThis paper deals with a novel active filter synthesis method using artificial intelligence (AI). The AI-based synthesis methodology uses original analog circuit representation performed by a Prolog backward-chaining inference mechanism. Circuit representation is specified as an analog circuit language to describe filter topologies, performance characteristics, and subcircuits. Synthesis is organized as a Prolog searching program based on backward-chaining strategy to transform input specifications into an appropriate filter structure. The Prolog program performs symbolic equation transformations to proper filter transfer characteristics. The proposed synthesis methodology has been developed for integrated continuous-time filter structures using operational transconductance amplifiers and capacitors to realize tunable and active C filters. A synthesis program has been implemented in Turbo Prolog on an IBM PC AT computer, and a filter example is presented demonstrating the use of the program.
650 0 _aElektronika.
650 0 _aInformatyka – dziedzina nauk technicznych.
650 0 _aElectronics.
650 0 _aComputer science – field of technical sciences.
773 0 8 _iW :
_tAnalog Integrated Circuits and Signal Proceessing. -
_x0925-1030
_dSpringer
_g1992, Vol. 2(01), s. 43-52.
942 _cART
_2UKD
999 _c8031
_d8031