What is soft computing?

traditional electronic calculations are black and white. When working in a binary code, with sequences of zeros and those, there is no chance of anything but simple answers "yes or no". Although it can be a reasonable way of calculating for many tasks, soft computer techniques require a different approach. In short, soft computer technology allows the computer to take over a certain level of inaccuracy in your work. Some can cope with artificial intelligence in that it is similar to the way the human brain works. There are times when the answer to the question may be yes or no, but there is not enough information that would definitely calculate what the answer is. Traditional computers facing this situation simply stop and wait for enough information to draw a exact conclusion. Soft computer technology is essentially a computer ability to answer a possible or even educated estimate of what may be the answer until more information is available.

For the use of a mathematical example, it is easy to say that the sum of two plus two is four. It is also right to say that the sum of two plus two is somewhere between three and five. The aim is, of course, to come up with the most accurate response. While the computer may be tempted to ignore the second option, soft computer technology, if done correctly, will see this answer as a potential option. While the computer will always choose the most accurate response, it will consider the execution of the estimate, if not all the numbers are certainly known.

In order to come up with his answer or evaluation of responses, the computer will use many different disciplines. Among the five best known are "fuzzy" systems, evolutionary calculation, probabilistic reassoning, machine learning and neural networks. By using many different computing methods for analyzing the problem, the computer can eventually come up with an accurate answer to a question that initially had an inaccurate answer.

In fact, the computer came with fromHe tells which has not been programmed in advance. From the point of view of computer science and perhaps a biological point of view, this could be considered learning or artificial intelligence. Some may argue that the path to the answer was programmed in advance, whether it was an answer or not, so it did not represent true intelligence. The question of whether this is true intelligence is a philosophical matter that probably depends very much on its own perspective.

The area of ​​computer science is a generally enthusiastic possibility of a soft computer and its potential benefits. It could a revolution in the revolution of robotics, maybe create more life prosthetics that are easier to use and which is more natural. Silent computer technology can also be used in many other fields such as medicine, engineering and physics.