Nonlinear hysteretic parameter identification using an attention-based long short-term memory network and principal component analysis

Keyphrases

• Principal Coordinate Analysis (PCoA) 100%
• Hysteretic Model 100%
• Parameter Identification 100%
• Accurate Identification 100%
• Attention-based 100%
• Hysteretic Parameters 100%
• Long Short-term Memory Network 100%
• Network Component Analysis 100%
• Heuristic Algorithms 50%
• Computationally Efficient 50%
• Forced Response 50%
• Sensitivity Method 50%
• Physical Systems 50%
• Vibration Response 50%
• Response Data 50%
• Attention Mechanism 50%
• Hysteresis Parameters 50%
• Generalization Ability 50%
• Hysteresis Nonlinearity 50%
• Memory-based 50%
• Long Short-term Memory Neural Network 50%
• Limited Input Data 50%
• Uncertain Input Data 50%
• Nonlinear Memory 50%
• Neural Network Method 50%

Engineering

• Input Data 100%
• Component Analysis 100%
• Principal Components 100%
• Network Component 100%
• Lstm 100%
• Experimental Result 50%
• Dimensionality 50%
• Physical System 50%
• Long Short-Term Memory 50%

Chemical Engineering

• Long Short-Term Memory 100%
• Neural Network 50%