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 answer is: B) a standard set of rules and procedures for control of communications in a network
.
Explanation:
To exchange information between computers across a network, there must be a preexisting agreement as to how the information will be structured and how the sender and receiver will behave. Without a protocol, receive or send information, the communication between computers will be impossible. The computer protocol is OSI (Open Systems Interconnection) sets guidelines for implementing networking communications between computers.
