A deep learning-based approach for hybrid nonlinear systems dynamics approximation

Mathematics

• System Dynamics 85%
• Hybrid Systems 82%
• Nonlinear Dynamics 77%
• Learning 65%
• Nonlinear Systems 57%
• Neural Networks 45%
• Configuration 37%
• Network Architecture 36%
• Approximation 36%
• Universal Approximation 36%
• Perceptron 32%
• Artificial Neural Network 30%
• Multilayer 29%
• Framework 27%
• Experimental Results 24%
• Regression 18%
• Output 18%
• Model 15%
• Computing 15%
• Class 14%

Engineering & Materials Science

• Hybrid systems 70%
• Deep learning 64%
• Nonlinear systems 61%
• Intelligent computing 55%
• Neural networks 43%
• Deep neural networks 35%
• Multilayers 35%
• Network architecture 33%
• Convolutional neural networks 32%

Medicine & Life Sciences

• Deep Learning 100%
• Nonlinear Dynamics 94%
• Computer Neural Networks 31%
• Datasets 19%