▎ 摘　　要

NOVELTY - The method is based on flexibility, high conductivity and super-strong mechanical stability of graphene material. Characteristics of molecules being released and adsorbed under the action of electric field and porous structure of the graphene-based film are combined. Structure design of the film layered plating layer of the capacitor core and hardware design of voltage adjustment are firstly performed. Then, the variable capacitance software and hardware k-nearest neighbors (kNN) and BP neural network algorithm (Back PropagationNeural Network, BPNN) are analyzed, verified and compared, respectively. USE - Method for graphene capacitor design and capacitor capacity control based on an intelligent algorithm. ADVANTAGE - The graphene capacitor design and capacitive capacity control method is based on flexibility of graphene material, high conductivity and super-strong mechanical stability, binding molecule is released and adsorbed by the characteristic of the porous structure of the graphene-based film, firstly performing the structure design of the film layered plating layer of the capacitor core and realizing the hardware design of voltage adjustment, then designing the variable capacitance of the software and hardware structure and control strategy, collecting the capacitance at different voltage, output unstable caused by various influence factors of fluctuation in a certain range, where the support vector machine (SVM), k nearest neighbor classification algorithm (kNN) and Back PropagationNeural Network (BPNN) respectively analysis, verification and comparison.