  There have been many attempts to implement neural networks in the analog
circuit. Most of them had a lot of input terms, and most studies implemented
neural networks in the analog circuit through a circuit simulation program
called Spice to avoid the need to design chips at a high cost and implement
circuits directly to input them. In this study, we will implement neural
networks using a capacitor and diode and use microcontrollers (Arduino Mega
2560 R3 boards) to drive real-world models and analyze the results.
