A Neuro Fuzzy Solution in the Design of Analog Circuits
スポンサーリンク
概要
- 論文の詳細を見る
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.
論文 | ランダム
- Occurrence of bovine papular stomatitis(Brief note)
- Comparison of properties between virulent and attenuated strains of transmissible gastroenteritis virus
- 51 豚伝染胃腸炎ウイルス免疫豚の乳汁中抗体 (微生物学分科会)(第74回日本獣医学会)
- 40 豚の扁桃継代細胞の作出とその2,3の性状について (微生物学分科会)(第70回日本獣医学会)
- 81 モルモット腎細胞馴化豚コレラウイルスの2,3の性状 II.