GUI System for Function Approximation using Neural Networks
نویسنده
چکیده
-This paper focuses the function approximation capability of feed forward neural network (FFNN). A Graphical user Interface (GUI) system has been developed and tested for function approximation. This GUI system can approximate any nonlinear/linear function which can have any number of input variable and six output variables. Configuration of neural network can be set from a single GUI window. A FFNN with a single hidden layer has been used to approximate the functions. To train the neural network various variant of Back propagation training algorithms has been configured in GUI system. Although this GUI system has been tested on various function but simulation results of two cases has been reported. Finally comparison has been made which shows that LevenbergMarquardt (LM) back propagation with single hidden layer FFNN converges faster than other training algorithms. Keywords—Function approximation, GUI, LevenbergMarquardt Algorithm ,Feed forward neural network, MISO.
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