Question

 Consider the following table for the connections between input neurons and the hidden layer neurons:

Input Neurons Hidden Layer Neurons Connection Weight
1 1 - 1
1 2 - 0.1
1 3 1
2 1 - 1
2 2 1
2 3 1
3 1 - 0.2
3 2 - 0.3
3 3 - 0.6

The connection weights from the hidden layer neurons to the output neurons are -0.6, -0.3 and -0.6, for the first, second and third neurons, respectively.

Corresponding threshold value for the output layer is 0.5 and for the hidden layer is 1.8, 0.005 and 0.2 for the first, second and third neurons, respectively.
i) Draw the diagram of the network.

 

ii) Write the output at each node.

10 Jan 2026
Answer :
Word Count : 229
The network consists of three input neurons connected to three hidden layer neurons, which in turn are connected to a single output neuron. Each input neuron is fully connected to each hidden neuron with the given weights. The hidden neurons use their respective threshold values 1.8, 0.005, and 0.2, and the output neuron uses a threshold of 0.5. Assuming a unit input pattern (x_1 = 1, x_2 = 1, x_3 = 1), the net input to each hidden neuron is obtained by summing the weighted
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