01890nab a22002297i 4500 KOSZ 005 20170308112710.0 160308s1992 ||||| ||||0|| ||eng PBN-R:351377 KOSZ 005/md PBN-ID eng eng WAWRYN, Krzysztof. 1980 - 1996. Wyższa Szkoła Inżynierska w Koszalinie - Wydział Mechaniczny, Zakład Elektroniki An artificial intelligence approach to active filter synthesis / Krzysztof Wawryn. 1992. This 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. Elektronika. Informatyka – dziedzina nauk technicznych. Electronics. Computer science – field of technical sciences. W : Analog Integrated Circuits and Signal Proceessing. - 0925-1030 Springer 1992, Vol. 2(01), s. 43-52. ART UKD 8031 8031