.png){kind=icon}
返回
An Integrated Nanocomposite Proximity Sensor: Machine Learning-Based Optimization, Simulation, and Experiment
.png){kind=icon}
OA
AI
DOI：10.3390/nano12081269.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper utilizes multi-objective optimization for efficient fabrication of a novel Carbon Nanotube (CNT) based nanocomposite proximity sensor. A previously developed model is utilized to generate a large data set required for optimization which included dimensions of the film sensor, applied excitation frequency, medium permittivity, and resistivity of sensor dielectric, to maximize sensor sensitivity and minimize the cost of the material used. To decrease the runtime of the original model, an artificial neural network (ANN) is implemented by generating a one-thousand samples data set to create and train a black-box model. This model is used as the fitness function of a genetic algorithm (GA) model for dual-objective optimization. We also represented the 2D Pareto Frontier of optimum solutions and scatters of distribution. A parametric study is also performed to discern the effects of the various device parameters. The results provide a wide range of geometrical data leading to the maximum sensitivity at the minimum cost of conductive nanoparticles. The innovative contribution of this research is the combination of GA and ANN, which results in a fast and accurate optimization scheme.
Keyword:
proximity sensor
artificial neural network
multi-objective optimization
genetic algorithm
capacitance
carbon nano tubes
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
N
IF:
4.3
论文数:
2.3W
被引数:
8.1W
机构
引用论文
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis完全集成的可穿戴传感器阵列，用于多路复用原位汗液分析.png)
NatureOAAI
NatureIF0
OAAI分享收藏Thermoplastic polyurethane flexible capacitive proximity sensor reinforced by CNTs for applications in the creative industriesSCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏Sensor selection for model-based real-time optimization: relating design of experiments and design cost基于模型的实时优化的传感器选择: 相关的实验设计和设计成本
PREAI
分享收藏
Linear freestanding electret generator for harvesting swinging motion energy: Optimization and experimentNANO ENERGY
NANO ENERGYIF17.1
PREAI
分享收藏
查看更多内容