Multiple regression prediction | Matlab based on convolutional neural network-gated recurrent unit combined with attention mechanism (CNN-GRU-Attention) regression prediction, multivariate input model - Code World

Multiple regression prediction | Matlab based on convolutional neural network-gated recurrent unit combined with attention mechanism (CNN-GRU-Attention) regression prediction, multivariate input model

Language 2023-08-12 21:49:58 views: null

Article directory

List of effects

insert image description here

Article overview

Multiple regression prediction | Matlab regression prediction based on convolutional neural network-gated recurrent unit combined with attention mechanism (CNN-GRU-Attention), multivariate input model evaluation indicators include: MAE, RMSE
and R2, etc., the code quality is very high, convenient Learn and replace data. Requires 2021 version and above.

Part of the source code

%%  清空环境变量
warning off             % 关闭报警信息
close all               % 关闭开启的图窗
clear                   % 清空变量
clc

Guess you like

Origin blog.csdn.net/m0_57362105/article/details/132228789

Multiple regression prediction | Matlab based on convolutional neural network-gated recurrent unit combined with attention mechanism (CNN-GRU-Attention) regression prediction, multivariate input model

Multiple regression prediction | Matlab based on convolutional neural network-bidirectional gated recurrent unit combined with attention mechanism (CNN-BIGRU-Attention) regression prediction, multivariate input model

Multiple regression prediction | Matlab regression prediction based on convolutional neural network-long short-term memory network combined with attention mechanism (CNN-LSTM-Attention), multivariate input model

Multivariate classification prediction | Matlab based on TSOA-CNN-GRU-Attention Transit optimized convolutional neural network combined with gated recurrent unit fusion attention mechanism for data classification prediction

Multiple regression prediction | Matlab regression prediction based on convolutional neural network-bidirectional long-term short-term memory network combined with attention mechanism (CNN-BILSTM-Attention), multivariate input model

Multidimensional time series prediction | Matlab based on ZOA-GRU-Attention multivariate time series 24 steps ahead regression prediction algorithm, Zebra optimized gated recurrent unit network fusion attention mechanism regression prediction algorithm

Multidimensional time series | MATLAB implements CNN-BiGRU convolutional neural network combined with bidirectional gated recurrent unit multivariate time series prediction

Regression prediction | MATLAB implements TCN-GRU time convolution gated recurrent unit multiple input single output regression prediction

Regression prediction | MATLAB realizes regression prediction based on BiGRU-AdaBoost bidirectional gated recurrent unit combined with AdaBoost multi-input single-output

Regression prediction | MATLAB implements TCN-BiGRU time convolution bidirectional gated recurrent unit multiple input single output regression prediction

Regression prediction | MATLAB implements SO-CNN-BiGRU snake swarm algorithm to optimize convolution bidirectional gated recurrent unit multiple input single output regression prediction

Multiple input and multiple output | MATLAB implements CNN-LSTM-Attention convolutional neural network-long short-term memory network combined with SE attention mechanism for multiple input and multiple output prediction

Multivariate classification prediction | Matlab based on TSOA-CNN-GRU-Attention Transit optimized convolutional neural network combined with gated recurrent unit fusion attention mechanism for data classification prediction

Multivariate classification prediction | Matlab based on TSOA-CNN-GRU-Attention Transit optimized convolutional neural network combined with gated recurrent unit fusion attention mechanism for data classification prediction

Classification prediction | MATLAB realizes data multi-feature classification prediction based on Attention-GRU (gated recurrent unit fusion attention mechanism classification prediction, including confusion matrix diagram and classification diagram)

Regression prediction | MATLAB implements multivariate input regression prediction based on Bayesian linear regression (Bayesian Regression)

Regression prediction | MATLAB implements CNN-BiLSTM (convolutional bidirectional long short-term memory neural network) with multiple input and single output

Regression prediction | MATLAB implements WOA-CNN-GRU whale algorithm to optimize convolution gated cycle unit multiple input single output regression prediction

Multivariate classification prediction | Matlab is based on PSO-GRU-Attention to do a classification model with multiple feature input and single output

Multivariate classification prediction | Matlab optimizes convolutional neural network based on MTBO-CNN mountaineering team algorithm combined with long and short-term memory network multivariate data classification prediction

Interval prediction | MATLAB implements QRGRU gated recurrent unit quantile regression multi-input single-output interval prediction

Regression prediction | MATLAB implements multivariate regression prediction based on QPSO-GRU, PSO-GRU, and GRU

Interval prediction | MATLAB implements multivariate time series interval prediction based on QRCNN-BiLSTM-Multihead-Attention convolutional neural network combined with bidirectional long-term and short-term memory neural network

Regression prediction | MATLAB implements CNN-BiGRU-Attention multi-input single-output regression prediction

Interval prediction | MATLAB implements QRCNN-GRU convolution gated recurrent unit quantile regression time series interval prediction

Multivariate classification prediction | Matlab based on TSOA-CNN-LSTM transit optimized convolutional neural network combined with long short-term memory network data classification prediction

Interval prediction | MATLAB implements multi-variable time series interval prediction based on QRCNN-GRU-Multihead-Attention multi-head attention convolution gated recurrent unit

Interval prediction | MATLAB implements a multivariate time series interval prediction model based on QRF random forest quantile regression

Regression prediction | MATLAB implements GRNN generalized regression neural network multi-input and multi-output prediction

Multi-input single-output prediction: Matlab implementation combining multiple regression analysis and LSTM neural network

Recommended

Ranking

error: (-215:Assertion failed) !_img.empty() in function ‘cv::imwrite‘

Database migration between Navicat servers

Minimum number of rotation of the array: Array

balenaEtcher for mac (make a boot disk software) v1.5.67

Custom processing serialization and deserialization in jackson

Mu-en-mask system development software

Mastering Regular Expressions

Find mileage Java--

Web pages can not directly concern the public micro-channel number how to do? A key to arouse public concern number of micro-channel solutions

[CodeForces - 739B] Alyona and a tree Tree + [difference] + bipartite

Daily

More

2024-05-12(28)

2024-05-11(32)

2024-05-10(34)

2024-05-09(32)

2024-05-08(18)

2024-05-07(34)

2024-05-06(6)

2024-05-05(0)

2024-05-04(18)

2024-05-03(8)