viafcccy / ScatteredLiquidComponentAnalysisApproachLinks
主要提出了一种从多谱线特征层融合角度提出了基于格拉姆角场（Gramian angular field）与多尺度卷积神经网络（multi-scale convolutional neural network）的光谱特征提取方法，使用格拉姆角场将一维光谱信号变换为二维图像增强了信号特征，使用多尺度卷积神经网络提取图像特征，利用特征向量回归计算金属离子浓度。
☆20Updated last year
Alternatives and similar repositories for ScatteredLiquidComponentAnalysisApproach
Users that are interested in ScatteredLiquidComponentAnalysisApproach are comparing it to the libraries listed below
Sorting:
- Common preprocessing such as sg, msc, SNV, first-order derivative, second-order derivative, etc.☆104Updated 2 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- 深度残差收缩网络处理一维时域信号☆37Updated 2 years ago
- Spectral data processing, including preprocessing, feature extraction, sample division, modeling, optimization algorithm.☆84Updated 4 years ago
- 一维卷积神经网络☆41Updated 5 years ago
- We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for …☆14Updated 2 years ago
- Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support V…☆37Updated 6 years ago
- 使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。☆91Updated 2 years ago
- 在matlab App Designer中设计了一款航空发动机气路故障智能诊断软件，通过训练航空发动机气路数据，分别实现航空发动机故障判断、故障部件定位和故障模式识别。☆12Updated 3 years ago
- 基于CNN和RNN的高光谱分类☆19Updated 5 years ago
- VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。☆45Updated 2 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated 2 years ago
- 高光谱数据预处理方法python代码☆67Updated 3 years ago
- Open source data set for quantitative and qualitative analysis of near-infrared spectroscopy☆45Updated 3 years ago
- 近红外光谱 用grnn做组分识别☆17Updated 6 years ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- The code for NIRS analysis based SVM&ANN☆15Updated 3 years ago
- Wavelength selection in spectroscopy☆74Updated 2 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆23Updated last year
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- 竞争性自适应重加权采样法（competitive adapative reweighted sampling， CARS）python代码☆23Updated 3 years ago
- Implementation in Python/Cython of the algorithm VMD_CVM for signal denoising☆10Updated 2 years ago
- 近红外光谱波长筛选算法☆25Updated 5 years ago
- In our project we are proposing a real time de-noising algorithm for audio signals based on the Wavelet Transform. White noise is omnipre…☆17Updated 4 years ago
- keras-regression-cnns☆11Updated 5 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated last year
- Simple one-dimensional data classification using LSTM, CNN, FC in Pytorch☆22Updated 5 years ago
- 通过反向传播算法实现神经网络和小波神经网络。Implement neural network and wavelet neural network through back-propagation algorithm. Реализация нейронных сетей …☆31Updated 6 years ago