RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN

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Presentation transcript:

RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN The multivariate Gaussian function was used as the activated function for hidden layer:

RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Output layer:

RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Based on the gradient descent method, the learning algorithm of weights, node center and variance were designed as follows:

RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Adjusting mechanism of fuzzy controller

VHDL codes of all system were embedded to Modelsim block: SIMULATION MODEL VHDL codes of all system were embedded to Modelsim block: 1: Neural Fuzzy controller 2: Current control and coordinately transforms 3: SVPWM

NEURAL FUZZY CONTROLLER Implement by FSM (Finite state machine)

NEURAL FUZZY CONTROLLER

NEURAL FUZZY CONTROLLER