Answer:
Figure 1 shows the neural network that computes the XOR of two inputs.
Two Input unit: X₁ and X₂
One hidden layer with two hidden units: h₁ and h₂
Two Weights for hidden unit 1 = 20, 20
Bias for hidden unit 1 = -10
Two Weights for hidden unit 2 = -20, -20
Bias for hidden unit 2 = 30
Weights for output layer = 20, 20
Bias for output layer = -30
Activation function = sigmoid (σ)
Output at hidden unit and at the output unit Y is shown in Table attached in Fig 2
The rate of gain for the high reservoir would be 780 kj/s.
A. η = 35%

W = 
W = 420 kj/s
Q2 = Q1-W
= 1200-420
= 780 kJ/S
<h3>What is the workdone by this engine?</h3>
B. W = 420 kj/s
= 420x1000 w
= 4.2x10⁵W
The work done is 4.2x10⁵W
c. 780/308 - 1200/1000
= 2.532 - 1.2
= 1.332kj
The total enthropy gain is 1.332kj
D. Q1 = 1200
T1 = 1000

<h3>Cournot efficiency = W/Q1</h3>
= 1200 - 369.6/1200
= 69.2 percent
change in s is zero for the reversible heat engine.
Read more on enthropy here: brainly.com/question/6364271