Huh we’re, we’re is the computer screen shot
Answer:
1. a modem connects a computer to the internet
4. a modem transmits digital signals over a telephone line
5. a dial-up modem communicates using a telephonic call
All of three mentioned above.
Modem stands for modulator de-modulator, and it connects the computer to the internet. Its not the fastest, which is router. And the connection is established via the telephone line, through which the digital signals is being transmitted, And the type used is dial up communication.
Explanation:
The answer is self explanatory.
The activity that uses a feature of a word processor is the last given answer. Recreating the same document multiple times to print multiple copies. Although some word processors have all the features stated above now a days. Word processors are helpful in composing, editing and printing text documents.
Answer:
warehouse
Explanation:
A bit similar to a database, a data warehouse is a collection or large store of data from different sources that businesses and organization can use to make intelligent business decisions. The data sources for a data warehouse are typically databases from different vendors and architectures.
Data warehouses are typically data repositories used by organizations for data analysis and reporting purposes.
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
