Neural-Based Models of Semiconductor Devices for SPICE Simulator | Science Publications

American Journal of Applied Sciences

Kamel Besbes¹  Hanene B. Hammouda¹  Mongia Mhiri¹  Zi Gafsi¹ 

关键词: Artificial Neural Networks;    new semiconductor devices;    SPICE;    Modeling;    Taylor series expansion;   

DOI  :  10.3844/ajassp.2008.385.391

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

The paper addresses a simple and fast new approach to implement Artificial Neural Networks (ANN) models for the MOS transistor into SPICE. The proposed approach involves two steps, the modeling phase of the device by NN providing its input/output patterns, and the SPICE implementation process of the resulting model. Using the Taylor series expansion, a neural based small-signal model is derived. The reliability of our approach is validated through simulations of some circuits in DC and small-signal analyses.

【 授权许可】

Unknown