IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
A Neuro Fuzzy Solution in the Design of Analog Circuits
Pedro MIRANDA-ROMAGNOLINorberto HERNÁNDEZ-ROMEROJuan C. SECK-TUOH-MORA
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2011 Volume E94.A Issue 1 Pages 434-439

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Abstract

A neuro fuzzy method to design analog circuits is explained, where the universe of discourse of the fuzzy system is adjusted by means of a self-organized artificial neural network. As an example of this approach, an op-amp is optimized in order to hold a predetermined aim; where the unity gain bandwidth is an objective of design, and the restrictions of open-loop gain and margin phase are treated as objectives too. Firstly, the experience of the behavior of the circuit is obtained, hence an inference system is constructed and a neural network is applied to achieve a faster convergence into a desired solution. This approach is characterized by having a simple implementation, a very natural understanding and a better performance than static methods of fuzzy optimization.

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© 2011 The Institute of Electronics, Information and Communication Engineers
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