Analog Circuit Based on Computational Intelligence Techniques

• Autorzy: Oltean G. , Hintea S. , Şipos E.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a new method for analog circuit design optimization. Our approach turns to good account the advantages offered by computational intelligence techniques. Design objectives can be expressed in a flexible manner using fuzzy sets. This way appears the possibility to consider different degrees for requirement achievements and acceptability degree for a particular solution. Neuro-fuzzy systems (universal approximators) are used to model the complex multi-variable and nonlinear circuit performances. These models satisfy two main requirements: high accuracy and low computation complexity. An efficient and robust genetic algorithm does avoiding local minima the exploration of the large, multidimensional solution space in quest for the optimal solution.

Słowa kluczowe

EN

analog circuit design; optimization; genetic algorithm; neuro-fuzzy system

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2009
• Tom: Vol. 3, No. 2
• Strony: 63--69
• Opis fizyczny: Bibliogr. 28 poz., rys.

Twórcy

autor

Oltean G.

autor

Hintea S.

autor

Şipos E.

• Technical University of Cluj-Napoca, C. Daicoviciu Street, 15, Cluj-Napoca, Romania,

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