A Novel Constitutive Parameters Identification Procedure for Hyperelastic Skeletal Muscles Using Two-Way Neural Networks
From MaRDI portal
Publication:5082311
DOI10.1142/S0219876221500602OpenAlexW3197662968MaRDI QIDQ5082311
No author found.
Publication date: 16 June 2022
Published in: International Journal of Computational Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219876221500602
Related Items (3)
A Novel Parameters’ Identification Procedure for Aortic Walls Based on Hybrid Artificial Intelligence Approaches ⋮ A Novel Approach for Identifying Hyper-Elastic Material Parameters of Cartilage based on FEM and Neural Networks ⋮ Structural Damage Detection Using Convolutional Neural Networks Based on Modal Strain Energy and Population of Structures
Cites Work
- Unnamed Item
- An inverse procedure for determination of material constants of composite laminates using elastic waves
- On high heels and short muscles: A multiscale model for sarcomere loss in the gastrocnemius muscle
- Computational Inverse Techniques in Nondestructive Evaluation
- The Equilibrium Cell-Based Smooth Finite Element Method for Shakedown Analysis of Structures
- Finite Element-Based Analysis of Bio-Heat Transfer in Human Skin Burns and Afterwards
- Tubenet: A Special Trumpetnet for Explicit Solutions to Inverse Problems
- A Meshfree Computational Approach Based on Multiple-Scale Pascal Polynomials for Numerical Solution of a 2D Elliptic Problem with Nonlocal Boundary Conditions
- FEA-AI and AI-AI: Two-Way Deepnets for Real-Time Computations for Both Forward and Inverse Mechanics Problems
- A new constitutive framework for arterial wall mechanics and a comparative study of material models
This page was built for publication: A Novel Constitutive Parameters Identification Procedure for Hyperelastic Skeletal Muscles Using Two-Way Neural Networks
