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
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<span>Jun 15, 2011 - Multiplication and division can be achieved using bit operators, for example .... I discovered pretty much the same thing for Sun CC close to 20 years ago. ... Just to add a rough estimation: On a typical 16-Bit processor ..... Doing it yourself willaffect readability and possibly have no effect on performance.</span><span>
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Answer:
DiffServ
Explanation:
The IP QoS which is fully known as QUALITY OF SERVICE mechanism that involves prioritizing traffic is DIFFERENTIATED SERVICES (DiffServ).
DIFFERENTIATED SERVICES help to differentiate ,arrange ,manage, control and focus on network traffic that are of great significance or important first before network that are less important or by their order of importance in order to provide quality of service and to avoid network traffic congestion which may want to reduce the quality of service when their is to much load on the network .
Answer:
a combined device for modulations and demodulations
