Research on a hypothesis of performance optimization for Op-amp circuit-based neural network models

The operational amplifier (Op-amp) plays a significant role in the circuit design. This article proposes a topology of the multi-stage Op-amp circuit design and the theoretical calculations and LTSpice simulations are also involved in terms of the performance including the differential input resistance, voltage gain, output impedance, total current consumption. Since these performances are affected by some resistors and other devices in the circuit, optimization below the design specifications can be achieved by changing the corresponding parameters. This paper proposes a hypothesis that (Op-amp) can be optimized by establishing a linear regression model, and on the other hand, the paper claim that (Op-amp) can be optimized by building a neural network model, which can be achieved through Python.