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The document describes a lab experiment using Madaline neural networks. It includes functions for the step bipolar activation, training Madaline, testing predictions, and calculating accuracy. Various logic functions are tested, including AND, OR, AND NOT, and XOR. XOR is able to be learned accurately due to Madaline having a hidden layer, allowing it to solve non-linearly separable problems. Testing on another dataset yields 100% accuracy compared to 75% for Hebb Net, due to Madaline using a non-linear dec

Author

Rebecca Octaviani

Language

EN