[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Lu et al., 2019 - Google Patents

Multiphysics modeling of voice coil actuators with recurrent neural network

Lu et al., 2019

View PDF
Document ID
16399887896700211118
Author
Lu T
Smedegaard M
Wu K
Publication year
Publication venue
IEEE Journal on Multiscale and Multiphysics Computational Techniques

External Links

Snippet

In order to accurately model the behaviors of a voice coil actuator (VCA), the three- dimensional (3-D) method is preferred over a lumped model. However, building a 3-D model of a VCA is often very computationally expensive. The computation efficiency can be limited …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/016—Input arrangements with force or tactile feedback as computer generated output to the user
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]
    • G06F2217/78—Power analysis and optimization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Parthasarathi et al. Extending neural generative conversational model using external knowledge sources
Kaltenbacher Numerical simulation of mechatronic sensors and actuators
US11449744B2 (en) End-to-end memory networks for contextual language understanding
Beltrán-Pulido et al. Physics-informed neural networks for solving parametric magnetostatic problems
JP7431833B2 (en) Language sequence labeling methods, devices, programs and computing equipment
Li et al. Deep residual learning and pdes on manifold
Yan et al. A discontinuous Galerkin time-domain method with dynamically adaptive Cartesian mesh for computational electromagnetics
WO2022105553A1 (en) Speech synthesis method and apparatus, readable medium, and electronic device
Lumentut et al. Parametric design-based modal damped vibrational piezoelectric energy harvesters with arbitrary proof mass offset: numerical and analytical validations
Boussif et al. MAgnet: Mesh agnostic neural PDE solver
CN108416169B (en) On-load multi-physical-field coupling simulation optimization design system for contactor contact system
Laufer-Goldshtein et al. A study on manifolds of acoustic responses
CN111144124A (en) Training method of machine learning model, intention recognition method, related device and equipment
Wu et al. Acoustic to articulatory mapping with deep neural network
Hu et al. Stable reduced order modeling of piezoelectric energy harvesting modules using implicit Schur complement
Lu et al. Multiphysics modeling of voice coil actuators with recurrent neural network
Castellani et al. Duality, fundamentality, and emergence
Song et al. Human trajectory prediction for automatic guided vehicle with recurrent neural network
Akinsolu et al. Efficient design optimization of high-performance mems based on a surrogate-assisted self-adaptive differential evolution
Carpentier et al. Application of the virtual work principle to compute magnetic forces with a volume integral method
Ko et al. A case study of machine learning hardware: Real-time source separation using Markov Random fields via sampling-based inference
Ali Modeling and simulation of MEMS components: Challenges and possible solutions
Lu et al. Modeling Voice Coil Actuators with Recurrent Neural Network
Park et al. Convolution-based attention model with positional encoding for streaming speech recognition on embedded devices
Gören-Sümer et al. Gradient based discrete-time modeling and control of Hamiltonian systems