Linearization design method in class-F power amplifier using artificial neural network

An X-band GaN HEMT power amplifier desig

An X-band GaN HEMT power amplifier design using an artificial neural network modeling technique

✍ Sang Yun Lee; Cetiner, B.A.; Torpi, H.; Cai, S.J.; Jiang Li; Alt, K.; Chen, Y.L. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 182 KB

Optimal design of adaptive under frequen

Optimal design of adaptive under frequency load shedding using artificial neural networks in isolated power system

✍ R. Hooshmand; M. Moazzami 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 707 KB

[Lecture Notes in Computer Science] Arti

[Lecture Notes in Computer Science] Artificial Neural Nets Problem Solving Methods Volume 2687 || Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

✍ Mira, José; Álvarez, José R. 📂 Article 📅 2003 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 460 KB

The Two-volume Set Lncs 2686 And Lncs 2687 Constitute The Refereed Proceedings Of The 7th International Work-conference On Artificial And Natural Neural Networks, Iwann 2003, Held In MaÃ3, Menorca, Spain In June 2003.the 197 Revised Papers Presented Were Carefully Reviewed And Selected For Inclusion

TAGUCHI'S DESIGN OF EXPERIMENT IN COMBIN

TAGUCHI'S DESIGN OF EXPERIMENT IN COMBINATION SELECTION FOR A CHAOTIC TIME SERIES FORECASTING METHOD USING ENSEMBLE ARTIFICIAL NEURAL NETWORKS

✍ Ardalani-Farsa, Muhammad; Zolfaghari, Saeed 📂 Article 📅 2013 🏛 Taylor and Francis Group 🌐 English ⚖ 870 KB

[Lecture Notes in Computer Science] Arti

[Lecture Notes in Computer Science] Artificial Neural Nets Problem Solving Methods Volume 2687 || Non Linear Process Identification Using a Neural Network Based Multiple Models Generator

✍ Mira, José; Álvarez, José R. 📂 Article 📅 2003 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 700 KB

The Two-volume Set Lncs 2686 And Lncs 2687 Constitute The Refereed Proceedings Of The 7th International Work-conference On Artificial And Natural Neural Networks, Iwann 2003, Held In MaÃ3, Menorca, Spain In June 2003.the 197 Revised Papers Presented Were Carefully Reviewed And Selected For Inclusion

Optimization of Surface Roughness and De

Optimization of Surface Roughness and Delamination Damage of GFRP Composite Material in End Milling Using Taguchi Design Method and Artificial Neural Network

✍ Sreenivasulu, Reddy 📂 Article 📅 2013 🏛 Elsevier 🌐 English ⚖ 821 KB