Genetic Determination of Large-Signal HEMT Model
Autor: | Kazuo Shirakawa, Naofumi Okubo |
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Rok vydání: | 1997 |
Předmět: |
education.field_of_study
Artificial neural network business.industry Computer science Reliability (computer networking) SIGNAL (programming language) Population Chromosome (genetic algorithm) Genetic algorithm Electronic engineering Wireless Equivalent circuit ComputingMethodologies_GENERAL business education Algorithm |
Zdroj: | 27th European Microwave Conference, 1997. |
DOI: | 10.1109/euma.1997.337837 |
Popis: | This paper reports on a general approach to build a large-signal, neural network HEMT model using a genetic algorithm. By representing the configuration of a neural network model as the chromosome of a virtual creature, we looked for an optimum network configuration by simulating the evolution of a group of these virtual creatures (a population). We successfully designed neural networks representing bias-dependent intrinsic elements of a HEMT's equivalent circuit. We also verified the reliability of this technique by searching for the optimum model from different initial conditions. |
Databáze: | OpenAIRE |
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