Answer/Explanation:
It is best to use Performance Monitor and Process counters to observe performance.
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Answer:
<em>Locality of reference.</em>
Explanation:
In computing, The principle of locality of reference is the probability of a processor to repeatedly access the same set of memory locations within a small time interval. This reference of locality can be spatially based (repetitive usage of data within the same location on the computer memory), or temporally based (repetitive usage of a particular data or resources within a shot time interval). The ability of some computing system to perform this action increases their predictability, and efficiency of memory hierarchy use, among other abilities.
Answer:
i dont know spanish but i am gussing that you want to find differnce in virus information?
Explanation:
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
