A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior ...

Artificial Neural Network (ANN) are significantly used for fast and highly accurate computation in various fields. This paper addresses digital design for two Machine learning Algorithms, Radial Basis ...

Through in-depth analysis of the structure and training methods of radial basis function (RBF) neural networks, an optimization method of RBF network diffusion velocity function based on the particle ...

Radial Basis Functional Neural Networks (RBFNNs) are powerful neural network architectures known for their unique approach to learning and pattern recognition. RBFNNs can approximate complex functions ...

To solve this problem, this study suggests a criterion algorithm based on the neural network with radial basis function (NNRBF), and a defect detection method based on the discrete wavelet transform ...

To further predict the financial risks of companies, we put forward a finance-predicting model based on the k-means++ algorithm and an improved radial basis function neural network (RBF NN), and we ...