Answer:
C) $40,000.
Explanation:
As we know, the net income is a difference between the total revenues and the total expenditure incurred
Net income = Total revenues earned - Total expenditure incurred
= $100,000 - $60,000
= $40,000
By subtracting the total expenses from the total revenues we can find out the net income and the same method is applied in the above calculation
For all the technology coming out of China today, its rural community is still very primitive. Farmers in the Western World have found ways to scientifically improve their growing techniques. Crop rotations allow for nutrient rich plants to regenerate the soil every other year. Also letting a field go fallow one years allows for recovery of soil. There are many other ways the West is improving their crops and educating new farmers in agriculture science. However, southeast Asian farmers to do not have access to this technology or sometimes computers/internet. They are using the same techniques that they have for over a thousand years. Until education is available for them or they are taught different they will continue to use the same techniques taught by their father. Even to the detriment of their land.
The correct answer for this question is this one: "Bank." <span>The SEC that most likely to penalize for violating a regulation is the bank. The SEC has the responsibility to penalize for any violations that has been committed - most especially those of related with banks.</span>
It can help keeps premiums down.
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.
