Neural network software tool development in C

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Figure 12: Neural network editor controlIn the panel shown in 12 the user can design a neural network. The top of the panel is aboutnetwork structure; we can see here 3 layers of neurons (processing units with sigmoid activationfunction). By clicking on a particular layer, we can edit the properties of that layer, namely theactivation function and the synaptic weights of the layer or of one particular neuron of that layer. Thiscan be done in the control shown in 13.11
Figure 13: Layer editor controlUnder the table that displays the neural network architecture, we can adjust neuron properties forthe whole network (activation function of all neurons and randomize all weights). The next panelis about the learning algorithm. Two algorithms are implemented and we can choose which one wewant to use by clicking on the tab and adjust it’s parameters. At the bottom of the panel we havethe ability to perform "new", "load" and "save" operations of the neural network [1]. The activationfunctions can be chosen on the panel shown in 14.Figure 14: Activation function selecting controlThe "new neural network" frame lets we create his/her own structure of neural network and isshown in the figure 15.12
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 and 10: Figure 5: Data properties controlTh
Page 11: During this work appeared a useful
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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