<span>Three-pronged firewall hope this helps!</span>
Answer:
7
Explanation:
Because the q.length is a inbuilt function in the programming which used to get the length of the array. In the array, there are 7 values are store. Therefore, the size 7 store in the variable z.
For example:
int[] array={1,2};
int x = array.length;
the answer of above code is 2, because the elements present in the array is 2.
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
Answer:
The worst case running time of a linear search is O(N).
Explanation:
In a linear search, you will run the program looking at each array position until you find your desired information.
The best case scenario is when you find it at the first position.
The worst case scenario is when you find the value at the last array position. So, in a N-length array, the information is at position N. This means that the worst case running time of a linear search is O(N).
