Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network

Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network

A kind of graphene foam chemical sensor (GFCS) system based on the principal component analysis (PCA) and backpropagation neural network (BPNN) was presented in this paper. Compared with conventional chemical sensors, the GFCS could discriminate various chemical molecules with selectivity without su...

Full description

Bibliographic Details
Main Authors:	Hongling Hua, Xiaohui Xie, Jinjin Sun, Ge Qin, Caiyan Tang, Zhen Zhang, Zhaoqiang Ding, Weiwei Yue
Format:	Article
Language:	English
Published:	Hindawi Limited 2018-01-01
Series:	Advances in Condensed Matter Physics
Online Access:	http://dx.doi.org/10.1155/2018/2361571

Similar Items

Risk Prediction of Digital Transformation of Manufacturing Supply Chain Based on Principal Component Analysis and Backpropagation Artificial Neural Network
by: Caihong Liu
Published: (2022-01-01)

PENGENALAN POLA SENYUM MENGGUNAKAN BACKPROPAGATION BERBASIS EKSTRAKSI FITUR PRINCIPAL COMPONENT ANALYSIS (PCA)
by: Rima Tri Wahyuningrum
Published: (2011-04-01)

Integrating Principal Component Analysis with Backpropagation Neural Network to Predict Time-to-failure of Aircraft Components - A Case Study on Electronic Control Unit of Aircraft Engine
by: Lin, Chien Mo, et al.
Published: (2018)

The Hardware Implementation of Backpropagation's Neural Network
by: Yean-Nong Yang, et al.
Published: (1993)

Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks
by: Salim Lahmiri
Published: (2014-07-01)

Banten Batik Classification with Backpropagation Neural Network
by: Fahrizal Rian, et al.
Published: (2018-01-01)

Prediksi IHSG dengan Backpropagation Neural Network
by: Andy Santoso, et al.
Published: (2019-08-01)

PERAMALAN MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK
by: MADE NITA DWI SAWITRI, et al.
Published: (2018-09-01)

Rainfall Forecasting Using Backpropagation Neural Network
by: Andreas Nugroho Sihananto, et al.
Published: (2017-11-01)

Face Detection Using Backpropagation Neural Networks
by: Anifuddin Azis, et al.
Published: (2007-06-01)

Fractional-Order Deep Backpropagation Neural Network
by: Chunhui Bao, et al.
Published: (2018-01-01)

Windows Programming of Backpropagation Artificial Neural Network
by: Guo-Jhang Lo, et al.
Published: (2004)

Reconfigurable Backpropagation Neural Network Implementation for FPGA
by: Bo-Wei Lin, et al.
Published: (2008)

The study of convergency analysis for backpropagation neural network
by: Mong-Tao-Tsai, et al.
Published: (2005)

Study of Backpropagation Neural Networks for Tool Wear Prediction
by: RAO, XUE-CHENG, et al.
Published: (2019)

A parallel approach for backpropagation learning of neural networks
by: María Liz Crespo, et al.
Published: (1999-03-01)

Identification Of Number Using Artificial Neural Network Backpropagation
by: Amalia Sitti
Published: (2018-01-01)

KLASIFIKASI PEMINJAMAN BUKU MENGGUNAKAN NEURAL NETWORK BACKPROPAGATION
by: Norhikmah Norhikmah, et al.
Published: (2020-01-01)

Fast Backpropagation Neural Network for VQ-Image Compression
by: Basil Mahmood, et al.
Published: (2004-05-01)

Backpropagation Neural Network Implementation for Medical Image Compression
by: Kamil Dimililer
Published: (2013-01-01)

Training Deep Spiking Neural Networks using Backpropagation
by: Jun Haeng Lee, et al.
Published: (2016-11-01)

Nonlinear adaptive control using backpropagating neural networks.
by: Menke, Kurt William
Published: (2012)

Development and Application of the Training Algorithm for Backpropagation Neural Network
by: 鄭瑞仁
Published: (1992)

System Identification of Neural Signal Transmission Based on Backpropagation Neural Network
by: Xiangyu Li, et al.
Published: (2020-01-01)

Research of extraction behavior of heavy metal Cd in tea based on backpropagation neural network
by: Chengli Guan, et al.
Published: (2020-02-01)

Online Monitoring and Early Warning of Subsynchronous Oscillation Using Levenberg–Marquardt and Backpropagation Algorithm Combined with Sensitivity Analysis and Principal Component Analysis
by: Lingjie Wu, et al.
Published: (2021-01-01)

Implementation of a New Sigmoid Function in Backpropagation Neural Networks.
by: Bonnell, Jeffrey A
Published: (2011)

Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm
by: Junxi Zhang, et al.
Published: (2021-01-01)

The application of backpropagation neural network method to estimate the sediment loads
by: Ari Gunawan Taufik, et al.
Published: (2017-01-01)

Hybridization of the Artificial Immune Network Using the Backpropagation Neural Network
by: Omar Qasim, et al.
Published: (2013-12-01)

Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats
by: Rakesh Kumar Sinha
Published: (2003-02-01)

An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification
by: Jianfang Cao, et al.
Published: (2014-01-01)

Conjugate descent formulation of backpropagation error in feedforward neural networks
by: NK Sharma, et al.
Published: (2009-06-01)

Klasifikasi Fase Retinopati Diabetes Menggunakan Backpropagation Neural Network
by: Rocky Yefrenes Dillak, et al.
Published: (2013-01-01)

Klasifikasi Fase Retinopati Diabetes Menggunakan Backpropagation Neural Network
by: Rocky Yefrenes Dillak, et al.
Published: (2013-06-01)

Evaluating the Vocal Music Teaching Using Backpropagation Neural Network
by: Cao, W.
Published: (2022)

Automatic Embroidery Digitizing Based on Skeletonization and Backpropagation Neural Network
by: Sen-Lan Shau, et al.
Published: (1999)

On-Line Chinese Character Recognition via Backpropagation Neural Network
by: Lin, Yown-Nain, et al.
Published: (1996)

The Net-Input Error Backpropagation and Neuron Splitting for Neural Network
by: YU YA-TING, et al.
Published: (2003)

Tolerating data corruption and data loss in backpropagation neural networks
by: Su, Zhao Min, et al.
Published: (1995)

Cannot write session to /tmp/vufind_sessions/sess_jl3a03a58rgvgli12ceih8oma5