What are different uses for soft computer techniques?
Soft computing is an computer science industry that works on the basis that not all problems can be accurate. It is most often associated with computer techniques that are designed to mimic biology, especially the human brain. Most problems solved by soft calculations cannot be easily divided into a purely mathematical approach.
In order to understand the concept of a soft computer, it is necessary to understand the differences between the computer and the human brain, especially their relative strengths and benefits. The brain works more slowly in performing a specific task, but is much more qualified to consider more options at the same time. Computers can calculate faster, but are limited to more logical, one thing and time. One does not have to be the same task with an equivalent amount of printed material in a lifetime. However, computers are relatively poor in image recognition, such as faces. One can usually recognize a familiar face immediately, even though he recognizes someone he has met oneFor a long time, it is possible in seconds.
This disparity in the ability to recognize the face is considered to be a good job when they remember their face as a whole, unlike a computer that would disrupt the image to individual pixels and compare them one by one. Meanwhile, one would be sure to notice a sufficient amount of similarities to be sure to make a strong estimate, even if there were any minor or even big differences. One can usually recognize the face of an old old school friend, even if it has changed dramatically with aging; One does a good job in identifying functions that Matter, such as the eyes and structure of bones.
The aim of the soft computational program is to imitate a person's approach or other animal to solve problems. This may include the use of fuzzy logic, which is a contrast to traditional binary logic, where each piece of data is either 1 or 0 on which lto think from the point of view of an incorrect or correct apartment. Fuzzy Logic allows you to evaluate the piece of data at any stage between 0 and 1, which corresponds to the endless degree of accuracy.
The most common use of soft computational techniques includes an attempt to map a biological structure such as the brain. This allows scientists to learn more about how the brain works and how to deal with neurological problems. Soft computing can also be used to facilitate the design of the software that works through the logic that people understand. It can also be used as the basis of a hybrid approach to calculation and combine people's skills with the speed of processing and accuracy of the computer.