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.

翻译：在模拟电路中实现神经网络的尝试已有诸多。其中大多数方案包含大量输入项，且多数研究通过名为Spice的电路仿真程序在模拟电路中实现神经网络，以避免设计芯片的高昂成本及直接搭建输入电路的需求。本研究将利用电容器和二极管实现神经网络，并采用微控制器（Arduino Mega 2560 R3开发板）驱动真实世界模型，进而分析实验结果。