<h2>Yes the swap method exchange parameter values if passed by reference or the value gets changed inside the function.</h2>
Explanation:
Since the program is not given, I will try to guide you about the mode of parameters.
The meaning of swap is interchanging the values. It can be done by using temporary variable or without using it (if the values are integers).
While passing the parameters, there are two ways, call by value/pass by value and call by reference/ pass by reference.
If call by value, then the value gets swapped only inside the function and will not reflected in the calling portion. Call by reference is other way round.
Answer:
A network backbone connects multiple networks together, allowing them to communicate with each other.
Answer:
quiescent
Explanation:
The National Institute of Standards and Technology (NIST) guidelines list four different states a mobile device can be in when you extract data. The quiescent mode is a dormant mode that conserves battery life while maintaining user data and performing other background functions.
Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess;
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40
