Artificial Neural Network (ANN) Based Fast and Accurate Inductor Modeling and Design
This paper analyzes the potential of Artificial Neural Networks (ANNs) for the modeling and optimization of magnetic components and, specifically, inductors. After reviewing the basic properties of ANNs, several potential modeling and design workflows are presented. A hybrid method, which combines t...
Saved in:
Main Authors: | Thomas Guillod, Panteleimon Papamanolis, Johann W. Kolar |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Open Journal of Power Electronics |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9152082/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Proposing and Modeling an Ultrahigh Step-Up DC-DC Converter Including Two Stages Boost Converter, Switched Capacitor and Coupled Inductor
by: Vahid Abbasi, et al.
Published: (2024-08-01) -
High Power Factor DCM-CRM Cuk PFC Converter with Wide Input Voltage Range Utilizing Variable Inductor Control
by: Tiesheng Yan, et al.
Published: (2025-01-01) -
Design and Simulation of Single Input Double Output Coupled Inductor Boost Converter with Bisection Method for Independent Home Application
by: Indhana Sudiharto, et al.
Published: (2024-12-01) -
A Single-Inductor Bipolar-Output DC-DC Converter With Tunable Asymmetric Power Distribution Control (APDC) for AMOLED Applications
by: Wei-Ting Yeh, et al.
Published: (2025-01-01) -
High Step-Up ZVT Converter Based on Active Switched Coupled Inductors
by: Yu Tang, et al.
Published: (2025-01-01)