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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

An intelligent circuit synthesis method for automatic tuning of microwave filters is reported. The intelligent agent is a neural network used for mapping RF filter performance specifications to tunable component parameter values. The neural network acts as an efficient and accurate real-time synthesis tool which when supplied with filter performance specifications calculates the required capacitor and inductor values to produce a circuit whose response is consistent with performance specifications. To demonstrate the efficacy of the approach, a tunable LC microwave high pass filter is synthesized using a modular neural network having 7 local experts, 12 inputs and 7 outputs. The resulting design - tunable from 7GHz to 12GHz in steps of 0.2GHz — required less than 3 cpuseconds per circuit synthesis on an IBM X60 Lenovo laptop computer.

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