Neural network software tool development in C

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The first check box, when selected, opens a control, shown in 8, where the user can choose theback propagation algorithm parameters.Figure 8: Backpropagation algorithm parameters controlThe second check box is not working.The combo box of the control MLP is used to choose the cost function that, in this version, is justthe mean squared error ( mse). Finally the Properties button creates the control shown in 9.Figure 9: MLP properties controlIn this control the user can choose the neural network architecture: the number of input andoutputs are fixed so one can only choose the number of hidden layer and the number of neuron ineach hidden layer. Having chosen the number of layers, the user can choose the activation function ofeach layer as well as the initial weights for the neuron. However, this last functionality is not working.Finally, the Output tool strip menu button just creates a control to display the outputs of the neuralnetwork. This control is shown in the figure 10.Figure 10: Output control9
During this work appeared a useful neural network library written in C# , so we started to exploreit and rewrite it so that the software had the mathematical and graphical functionalities aimed by thegroup. As a result of this work the second version of the software was developed based on the firstversion and on the mentioned library.Second versionFranck Fleury made a C# library very useful for the program the we are developing [1]. However,this library presents some mathematical limitations and the graphical interface is not at all what wedesired. Anyway, this library served as an inspiration for the second version of the software.Fleury’s interface is shown in the figure 11.Figure 11: Frank Fleury graphical interface for implementing neural networks10
Page 1 and 2: INEB- PSI Technical Report 2006-2Ne
Page 3 and 4: IntroductionOne of our main objecti
Page 5 and 6: Figure 2: Properties windowThe prog
Page 7 and 8: The neural network software toolAft
Page 9: Figure 5: Data properties controlTh
Page 13 and 14: Figure 13: Layer editor controlUnde
Page 15 and 16: 10. The default learning algorithm
Page 17 and 18: Now, the first layer is the input l
Page 19 and 20: This second version of the software

Neural network software tool development in C

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