Artificial Neural Network Project
The top-level ANN was designed as a Multi-Layered Perceptron[1] using one hidden layer and one output layer. Each neuron used an activation function of a sigmoidal function. The number of hidden neurons can be adjusted. This was to allow the network to be trained using the back-propagation algorithm to a supervised set of samples. ................
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