A Pairwise Growing RBF Neural Network with Sparsely Direct Connections for Nonlinear System Modelling

Key Points

• Nonlinear system modelling is effectively improved with the pairwise growing RBF neural network, indicating promise for application.
• The model leverages sparsely direct connections, enhancing the performance and adaptability of neural networks.
• This analysis employs activation functions tailored for pairwise connections, optimizing output and reducing computational load.
• Potential applications in various fields, such as robotics and control systems, may lead to advancements in real-time system modeling.