What is nerve processing?
neural processing originally referred to the way the brain works, but this term is usually used to describe computer architecture that mimics this biological function. In computers, the software nerve processing gives the possibility to adapt to changing situations and improve its function as soon as more information is available. Neural processing is used in software to perform tasks such as human face recognition, weather forecasting, analysis of speech patterns and learning new strategies in games.
The human brain is composed of approximately 100 billion neurons. These neurons are nerve cells that individually serve simple function of processing and transmission of information. When nerve cells convert and process in clusters called neural network, the results are complex - for example, creating and storing memory, tongue processing and reaction to sudden movement.
Artificial nerve processing mimics this process at a simpler level. A small processing unit called aneurHe or the node performs a simple task of processing and transmission of data. Because simple processing units combine basic information through connectors, information and processing become more complex. Unlike traditional computer processors that need a human programmer to enter new information, nerve processors can learn themselves as soon as they are programmed.
For example, an neural processor can improve on the highway. Like the human brain, the computer learns that certain movements of the opponent are created to create traps. Basic programming could allow the computer to fall on the trap for the first time. However, the more often a trap occurs, the more attention it pays to this data and begins to respond appropriately.
neural programmers call growing attention that the computer pays to certain results of the "weight". Traditional processing would provide a computer withAid rules of the game and a limited number of strategies. Neural processing by collecting data and paying more attention to more important information learns better strategy over time.
The power of nerve processing is in its flexibility. In the brain, the information is presented as an electrochemical pulse - a small impact or a chemical signal. In artificial neural processing, the information is presented as a numeric value. This value determines whether the artificial neuron goes active or remains sleeping, and also determines where it sends its signal. For example, if a certain check is moved to a particular square, the neuron network reads this information as numerical data. This data is compared with the growing amount of information, which in turn creates an action or output.