Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data.
Yue LengSarah CalveAdrian Buganza TepolePublished in: CoRR (2021)
Keyphrases
- mechanical properties
- neural network
- global exponential stability
- composite materials
- multilayer perceptron
- trained neural networks
- multi layer perceptron
- training process
- auto associative
- artificial neural networks
- hopfield neural network
- neural network model
- back propagation
- finite element model
- fuzzy logic
- activation function
- stainless steel
- image data
- stress distribution
- genetic algorithm