Abstract: The approximation power for dynamic systems of a novel neural network model-standard neural network model ... Furthermore, the results are briefly extended for any bounded measurable ...

Abstract: We propose an evolutionary neural network-training algorithm for beta basis function neural networks (BBFNN). Classic training algorithms for neural networks start with a predetermined ...

We demonstrate that such an SI-SNN model is capable of efficiently solving optimization problems, such as parameter optimization of continuous functions and a ubiquitous ... intelligence in agents of ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...