Particularly, this work proposes a novel Radial Basis Function Neural Network (RBF-NN) hardware implementation based on Stochastic Computing (SC), which applies probabilistic laws over conventional ...

After that, the optimal maximum coefficients of the wavelets are extracted and fed into the proposed radial basis function neural network (NNRBF). Overhead distribution system faults are simulated in ...

In this paper, intelligent PID neural network (IPIDNN) controller based on a recurrent radial basis function neural network (RRBFNN) for brushless dc motor (BLDCM) speed control is proposed. First, ...