(b) Figure (b) is the MADALINE model. Using the MADALINE network, solve the problem (using bipolar activations) and show the results of the weights adaptation for selected patterns with following assumptions: Input 1 Bias 1 Wilji 0.4 Wilj3 0.9 0.7 Wi1j2 Bias 4 0.5 Input 2 Wi21 0.6 Neuron Output Wi202 0.8 Wjik Neuron j1 0.5 0.8 Bias 2 0.5 Wi2k Neuron ja 0.5 Neuron j3 Wi2k 05 Wi2j3 0.9 Wi3j11 Wi3j2 0.6 Wi3j3 Input 3 0.8 Bias 3 Figure (b): The MADALINE model Learning rate a=0.5 X1 1 -1 -1 X2 1 -1 1 X3 0 0 1 t 1 1 -1 (b) Figure (b) is the MADALINE model. Using the MADALINE network, solve the problem (using bipolar activations) and show the results of the weights adaptation for selected patterns with following assumptions: Input 1 Bias 1 Wilji 0.4 Wilj3 0.9 0.7 Wi1j2 Bias 4 0.5 Input 2 Wi21 0.6 Neuron Output Wi202 0.8 Wjik Neuron j1 0.5 0.8 Bias 2 0.5 Wi2k Neuron ja 0.5 Neuron j3 Wi2k 05 Wi2j3 0.9 Wi3j11 Wi3j2 0.6 Wi3j3 Input 3 0.8 Bias 3 Figure (b): The MADALINE model Learning rate a=0.5 X1 1 -1 -1 X2 1 -1 1 X3 0 0 1 t 1 1 -1