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0. 0. 1. 1. p j. o. 2. 2. W (2,1). W (1,0). Example, BP learning function XOR. Initial weights W(0) Learning rate = 0.2 Node function: hyperbolic tangent. Training samples (bipolar) Network: 2-2-1 with thresholds (fixed output 1). MSE reduction: every 10 epochs.

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Example, BP learning function XOR


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    1. 0 0 1 1 pj o 2 2 W(2,1) W(1,0) Example, BP learning function XOR • Initial weights W(0) • Learning rate = 0.2 • Node function: hyperbolic tangent • Training samples (bipolar) • Network: 2-2-1 with thresholds (fixed output 1)

    2. MSE reduction: every 10 epochs Output: every 10 epochs

    3. After epoch 1 # epoch

    4. Network Paralysis • Increase the initial weights by a factor of 10