Directed Genetic Algorithms for OTFT Model Parameter Eztraction

摘要：

An improvement on the parameter extraction technique for compact device models based on Genetic algorithms is presented. The use of fuzzy logic based rules to direct the evolution of the genetic algorithm enhances the convergence and the physical meaning of the parameters is preserved. Another advantage of this method is that the fuzzy rules can be applied just to a reduced set of model parameters. The parameter extraction procedure is applied to find the parameters in an OTFT model from a set of experimental data. Agreement between measured and modeled DC I-V characteristics is excellent. Moreover,the parameter values obtained with this procedure agree remarkably with the ones obtained by a direct extraction method.

作者: Eugenio Garcia-Moreno Benjamin Iniguez Rodrigo Picos

作者单位: GTE,University of Balearic Islands,Palma 07122,Spain DEEEA,University Rovira i Virgili,Tarragona 43007,Spain

会议类型: 国际会议

会议名称: 9th International Conference on Solid-State and Integrated-Circuit Technology(第9届固态和集成电路国际会议)

会议地点: 北京

会议语种:英文

页码: 424-427

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）