Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks

Keyphrases

• Approximation Theory 100%
• Recurrent Neural Network 100%
• Optimization Theory 100%
• Continuous Time Recurrent Neural Network 100%
• Linear Continuous-time 100%
• Memory Structure 50%
• Optimization Dynamics 50%
• Linear Relationship 25%
• Continuous-time 25%
• Approximation Property 25%
• Curse of Dimensionality 25%
• Long-term Memory 25%
• Plague 25%
• Input-output Relation 25%
• Temporal Relations 25%
• Linear Functional 25%
• Spatio-temporal Data 25%
• High-dimensional Approximation 25%
• Memory Decay 25%
• Learning Relationships 25%
• Inverse Approximation Theorem 25%
• Exact Optimization 25%
• Relatively Complete 25%
• Recurrent Structure 25%

Mathematics

• Neural Network 100%
• Continuous Time 100%
• Approximation Function 20%
• Linear Functionals 20%
• Linear Relationship 20%
• Approximation Theorem 20%
• Approximation Property 20%