On the public citation graph

Modeling of Anisotropic Magnetostriction Under DC Bias Based on an Optimized BP Neural Network

0 signed · 50 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jmmm.2008.04.076openalex-snapshot
Quasistatic hysteresis modeling with feed-forward neural networks: Influence of the last but one extreme values
inferredcites →https://doi.org/10.1049/iet-epa.2016.0170openalex-snapshot
Magnetostriction in grain‐oriented electrical steels under AC magnetisation at angles to the rolling direction
inferredcites →https://doi.org/10.1109/icelmach.2014.6960375openalex-snapshot
Two-dimensional magnetostriction analysis using E&S-W model in induction motor model core
inferredcites →https://doi.org/10.1109/tmag.2007.899756openalex-snapshot
Neural-Network-Based Model for Dynamic Hysteresis in the Magnetostriction of Electrical Steel Under Sinusoidal Induction
inferredcites →https://doi.org/10.1109/tmag.2015.2402111openalex-snapshot
Modeling 2-D Magnetostriction in Nonoriented Electrical Steels Using a Simple Magnetic Domain Model
inferredcites →https://doi.org/10.1109/tmag.2015.2440320openalex-snapshot
Magnetostriction and the Influence of Harmonics in Flux Density in Electrical Steel
inferredcites →https://doi.org/10.1109/tmag.2015.2477838openalex-snapshot
Magnetostriction of Silicon Steel Sheets Under Different Magnetization Conditions
inferredcites →https://doi.org/10.1109/tmag.2015.2481466openalex-snapshot
Finite-Element Analysis of Magnetostriction Force in Power Transformer Based on the Measurement of Anisotropic Magnetostriction of Highly Grain-Oriented Electrical Steel Sheet
inferredcites →https://doi.org/10.1109/tmag.2018.2806346openalex-snapshot
Effects of DC Bias on Regional Flux and Magnetostriction of a Single-Phase Transformer Core Modeled by 3-D MACC
inferredcites →https://doi.org/10.3233/jae-172273openalex-snapshot
An anisotropic magnetostriction model based on BP neural network combining Levenberg-Marquardt algorithm and particle swarm optimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4350246openalex-extracted
inferred← citeshttps://doi.org/10.2139/ssrn.4621693openalex-extracted
inferred← citeshttps://doi.org/10.2139/ssrn.4760507openalex-extracted
An Intelligent Magnetic Hysteresis Model Based on a Backpropagation Neural Network with Preisach Operators
inferred← citeshttps://doi.org/10.1002/2050-7038.12957openalex-snapshot
Investigation on magnetostrictive behaviour of a converter transformer influenced by dominant harmonics: A FEM and ANN based approach
inferred← citeshttps://doi.org/10.1007/s00521-022-07377-0openalex-snapshot
Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy
inferred← citeshttps://doi.org/10.1007/s43236-022-00499-7openalex-snapshot
Vibration reduction method of switched reluctance motors with amorphous alloy cores based on inverse-magnetostriction effect
inferred← citeshttps://doi.org/10.1016/j.ijepes.2021.106901openalex-snapshot
An improved protection scheme of the ground electrode line based on two frequency components injection
inferred← citeshttps://doi.org/10.1016/j.jmmm.2021.168655openalex-snapshot
A hybrid Jiles–Atherton and Preisach model of dynamic magnetic hysteresis based on backpropagation neural networks
inferred← citeshttps://doi.org/10.1016/j.jmmm.2023.171196openalex-snapshot
Modeling magnetostriction of grain-oriented sheet steels based on magnetization process and domain motion
inferred← citeshttps://doi.org/10.1016/j.jmmm.2023.171689openalex-snapshot
Structure optimization design and magneto-mechanical characteristics analysis of amorphous alloy with oriented silicon steel composite wound core
inferred← citeshttps://doi.org/10.1016/j.jmmm.2024.172028openalex-snapshot
Physics-informed neural network-based magnetostriction model for grain-oriented electrical steels
inferred← citeshttps://doi.org/10.1016/j.petrol.2021.109423openalex-snapshot
Hybrid modeling for submergence depth of the pumping well using stochastic configuration networks with random sampling
inferred← citeshttps://doi.org/10.1049/elp2.12025openalex-snapshot
Modelling of magnetostrictive vibration and acoustics in converter transformer
inferred← citeshttps://doi.org/10.1063/5.0307192openalex-snapshot
Recent advances in design of magnetic functional alloys assisted by machine learning
inferred← citeshttps://doi.org/10.1088/2399-7532/ac4ccdopenalex-snapshot
Nonlinear one-dimensional constitutive model for magnetostrictive materials
inferred← citeshttps://doi.org/10.1109/access.2020.3024638openalex-snapshot
Electromagnetic Vibration Analysis of Magnetically Controlled Reactor Considering DC Magnetic Flux
inferred← citeshttps://doi.org/10.1109/access.2021.3078554openalex-snapshot
Neural Network Model for Magnetization Characteristics of Ferromagnetic Materials
inferred← citeshttps://doi.org/10.1109/cefc55061.2022.9940731openalex-snapshot
Inverse Magnetostriction Model of Electrical Steel Sheet under DC Bias Based on Energetic and Improved Jiles-Atherton-Sablik Models
inferred← citeshttps://doi.org/10.1109/ciycee53554.2021.9676796openalex-snapshot
State Identification of Transformers under DC Bias Based on Nonlinear Vibration Feature
inferred← citeshttps://doi.org/10.1109/cvidliccea56201.2022.9824875openalex-snapshot
A calculation method for line-of-sight stable attitude of networked optical transceiver based on depth feedforward neural network
inferred← citeshttps://doi.org/10.1109/icoecit68303.2026.11496911openalex-snapshot
Parameter Optimization of a Magnetic Fault Current Limiter Using Biogeography-Based Optimization
inferred← citeshttps://doi.org/10.1109/jestpe.2025.3544868openalex-snapshot
Optimization of Magnetic Couplers in Wireless Charging Systems Using the Surrogate Model
inferred← citeshttps://doi.org/10.1109/phm-nanjing52125.2021.9612956openalex-snapshot
Fast fusion method of marine environment vector data based on BP neural network
inferred← citeshttps://doi.org/10.1109/tcpmt.2022.3186969openalex-snapshot
Symmetrical Multilayer Dielectric Model of Thermal Stress and Strain of Silicon-Core Coaxial Through-Silicon Vias in 3-D Integrated Circuit
inferred← citeshttps://doi.org/10.1109/tmag.2024.3462472openalex-snapshot
Magnetostriction Model of Electrical Steel Sheets Considering Temperature Gradient
inferred← citeshttps://doi.org/10.1109/tmag.2024.3462497openalex-snapshot
Study of Magnetostrictive Characteristics Based on Dynamic J–A Model Under DC Bias
inferred← citeshttps://doi.org/10.1109/tmag.2025.3626932openalex-snapshot
An Improved Prediction Algorithm for Noise of Transformer Considering Material Parameter Uncertainty
inferred← citeshttps://doi.org/10.1109/tpel.2025.3563291openalex-snapshot
An Improved Electromagnetic-Structural Coupling Vibration Model of Wound Core Under SPWM Excitation
inferred← citeshttps://doi.org/10.1109/tte.2025.3594689openalex-snapshot
Multitime-Scale Energy Management Strategy for Plug-In Hybrid Electric Vehicle With DMP Machine Considering Electromagnetic Coupling
inferred← citeshttps://doi.org/10.1155/2021/6592938openalex-snapshot
[Retracted] Music Emotion Analysis Based on PSO‐BP Neural Network and Big Data Analysis
inferred← citeshttps://doi.org/10.1155/2022/1191271openalex-snapshot
[Retracted] Application of Improved BP Neural Network in the Optimization of Regional Economic Energy Consumption Structure
inferred← citeshttps://doi.org/10.1155/2022/1383520openalex-snapshot
Intangible Cultural Heritage Management Using Machine Learning Model: A Case Study of Northwest Folk Song Huaer
inferred← citeshttps://doi.org/10.1155/2022/3580762openalex-snapshot
Prediction Method of Graphene Defect Modification Based on Neural Network
inferred← citeshttps://doi.org/10.1155/2022/4842139openalex-snapshot
College English Audio-Visual-Oral Teaching Mode from the Perspective of Artificial Intelligence
inferred← citeshttps://doi.org/10.20532/cit.2022.1005615openalex-snapshot
Research on the Design of Financial Management Model Based on SOM-PNN Driven by Digital Economy
inferred← citeshttps://doi.org/10.23919/ipec-nagasaki2026-ec64663.2026.11597197openalex-snapshot
An Optimized Update-Time Method for Mitigating Transient DC-Bias in Triple Active Bridge Converters
inferred← citeshttps://doi.org/10.3390/app13085181openalex-snapshot
A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics
inferred← citeshttps://doi.org/10.3390/en19092134openalex-snapshot
Magnetostriction of Silicon Steel Sheets and Its Application in Predicting DC Bias
inferred← citeshttps://doi.org/10.3390/s23135926openalex-snapshot
Measurement of Magnetic and Magnetostrictive Characteristics of Transformer Core Based on Triaxial Strain Gauge and B-H Vector Sensor
inferred← citeshttps://doi.org/10.35833/mpce.2022.000035openalex-snapshot
Measured Impedance and Threshold Value of Electrode Line Impedance Supervision Based Protection in HVDC Transmission System
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.