Answer:
(√x+ 8) +(√x+1 )=7 square both sides
x+8+x+1=49
2x+9=49
2x=49-9
2x/2=40/2
x=20
Answer:
the answer is D. language and cultural differences.
Explanation:
OK THE COMARE IS THAT YOU DONT KNOW AND THE REST IS NOTHING
Answer:
The correct answer is, $121.2
Explanation:
You went for grocery and paid the bill through check.
Amount of grocery purchased: $45.20
You check bounced and you owe bank $25 because you didn't have much balance in your account that you paid for the groceries.
Your bank did an additional transaction of debiting your account with $25 for the bouncing of your check.
Grocery store sent you the letter to tell that you owe them $25 for the bounced check
You will have to pay again $45.20
Money order fee: $1
So the amount that you actually spent on groceries would be:
$45.2(real grocery amount) + $25(you owe to bank for bouncing your friend's check) + $25( Your check bounced) + $25(grocery store charged due to bounced check) + $1(money order)
= $121.2
So you are actually charged $ 121.2 for the groceries.
Answer:
The correct answer is c) neural network .
Explanation:
Neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
Each neuron is connected to others through links. In these links the output value of the previous neuron is multiplied by a weight value. These weights in the bonds can increase or inhibit the activation state of adjacent neurons. Similarly, at the exit of the neuron, there may be a limiting function or threshold, which modifies the result value or imposes a limit that must be exceeded before spreading to another neuron. This function is known as the activation function. Artificial neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
