Nano-mastery networks with a similar structure to the human brain (structure and function) based on nano-microelectronics(educatio al-research doctorate)
Researcher and author:
Engineer Afshin Rashid
Note: The word Nano Memristor is made up of a combination of 2 Nano Memory and Resistor. It is a resistor whose resistance depends on the amount of current passing through it in the past. In other words, this element is a resistor with nano memory.
Memristor can be positioned as the fourth basic element alongside resistor, inductor, and capacitor, which links electrical charge (time integral) to magnetic flux (voltage-to-time integral), although in modern-day monistors there is no magnetic flux, The behavior of the device is such that the current integral is proportional to the voltage integral. Nano-memristors will have to mimic brain function to design and build future circuits. Neural network knowledge , formed many years ago, is more about understanding how the brain works and how it interacts . Until now, this knowledge has produced a remarkable midwifery achievement in orbital construction, similar to that of the brain.
Nowadays, the behavior of the brain is very much simulated by the Uber computers, but the orbit, which works exactly like the brain, has yet to be made. Supercomputers consume thousands of watts of power to simulate brain behavior and take up a lot of space. Secretariat networks are expected to act similar to the brain (and not just simulate brain function)
In addition to memristor-based neural networks, other technologies have been proposed to mimic brain function. These include approximate processing technology. In this technology the results of mathematical calculations are not quite accurate, but they are close to accurate and gradually come closer to accurate values as more data is trained and processed. For example in 1 + 1 where this method can result in 1.98 or 1/2. Processors based on this technology can, in some applications, process much faster power and consume much less power.