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2006

ANN-Based Spiral Inductor Parameter Extraction and Layout Re-Design

10 years 1 months ago
ANN-Based Spiral Inductor Parameter Extraction and Layout Re-Design
A neural network approach is presented for modeling and characterization of on-chip copper spiral inductors. The approach involves the creation of neural network models to map 3D multi-level spiral inductor geometric characteristics to SPICE equivalent circuit parameters. The neural network replaces computationally expensive FEM-based extraction and field solution. The approach is especially attractive because it is capable of accurately and efficiently predicting important inductor characteristics such as self-inductance, Q-factor, selfresonant frequency and parasitic resistance and capacitance. It also offers substantial computational savings over field solution - evaluation of neural model required on average less than 5% of the cpu time required for field solution.
Abby A. Ilumoka, Yeonbum Park
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where CDES
Authors Abby A. Ilumoka, Yeonbum Park
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