Multiple Classification Prediction | Matlab Based on EVO-CNN-LSTM Energy Valley Optimized Convolutional Neural Network Combined with Long Short-term Memory Network Data Classification Prediction - Code World

Multiple Classification Prediction | Matlab Based on EVO-CNN-LSTM Energy Valley Optimized Convolutional Neural Network Combined with Long Short-term Memory Network Data Classification Prediction

Language 2023-08-12 21:47:35 views: null

Article directory

List of effects

insert image description here

Article overview

Multivariate classification prediction | Matlab is based on EVO-CNN-LSTM energy valley optimized convolutional neural network combined with long-term short-term memory network data classification prediction
MATLAB program, MATLAB version 2020 and above are required.
Multi-line variable feature input, optimized learning rate, convolution kernel size and number of neurons, etc., convenient to add dimensions to optimize other parameters, suitable for bearing fault identification/diagnosis/classification, transformer oil and gas fault identification/diagnosis/classification, electric power System transmission line fault area identification/diagnosis/classification, insulator, distribution network fault identification/diagnosis/classification, etc.
Energy valley optimizer (EVO) is a novel meta-heuristic algorithm proposed by MahdiAzizi et al. in 2023ÿ

Guess you like

Origin blog.csdn.net/m0_57362105/article/details/132245709

Multiple Classification Prediction | Matlab Based on EVO-CNN-LSTM Energy Valley Optimized Convolutional Neural Network Combined with Long Short-term Memory Network Data Classification 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

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

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 optimizes convolutional neural network data classification prediction based on EVO-CNN energy valley

[Matlab] Data classification prediction based on long short-term memory network (Excel can directly replace data)

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

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 implements PCA-BiLSTM (principal component bidirectional long short-term memory neural network) classification prediction

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

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

Time series prediction | MATLAB implements CNN-BiLSTM (convolutional bidirectional long short-term memory neural network) time series prediction

Interval prediction | MATLAB implements multivariate time series interval prediction based on QRCNN-LSTM convolutional long short-term memory neural network

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

Time series prediction | MATLAB implements BO-CNN-LSTM Bayesian optimization convolutional neural network - long short-term memory network time series prediction

Time series prediction | MATLAB implements WOA-CNN-LSTM whale algorithm to optimize convolutional long short-term memory neural network time series prediction

Multivariate Classification Prediction | Matlab Data Classification Prediction Based on RIME-CNN Frost and Ice Optimization Convolutional Neural Network

Classification prediction | MATLAB implements GA-BiLSTM genetic algorithm to optimize data multi-input classification prediction of bidirectional long short-term memory network

Classification prediction | MATLAB implements WOA-CNN whale algorithm to optimize convolutional neural network data classification prediction

Interval prediction | MATLAB implements QRCNN-LSTM convolutional long short-term memory neural network quantile regression time series interval prediction

Regression prediction | MATLAB implements regression prediction based on LSTM-AdaBoost long short-term memory network combined with AdaBoost multi-input single-output

[MATLAB Issue 65] Introduction to future ideas for predicting the future of multi-input single-output data based on LSTM long short-term memory network (short-term prediction)

Time series prediction | MATLAB implements TCN-LSTM time convolution long short-term memory neural network time series prediction

Regression prediction | MATLAB implements SSA-CNN-LSTM sparrow algorithm to optimize convolutional long-term short-term memory neural network multi-input single-output regression prediction

Regression prediction | MATLAB implements SO-CNN-LSTM snake swarm algorithm to optimize convolutional long-term short-term memory neural network multi-input single-output regression prediction

Classification prediction | MATLAB implements NGO-CNN northern goshawk algorithm to optimize convolutional neural network data classification prediction

Classification prediction | MATLAB implements PSO-CNN particle swarm algorithm to optimize convolutional neural network data classification prediction

Displacement monitoring based on long-term and short-term neural network LSTM, displacement prediction based on long-term and short-term neural network, detailed principle of LSTM

Carbon emission prediction based on long-term and short-term neural network LSTM, carbon emission prediction based on LSTM

Regression prediction | MATLAB implements POA-CNN-BiLSTM pelican algorithm to optimize convolutional bidirectional long-term short-term memory neural network multi-input single-output regression prediction

Recommended

The number of MaxKB GitHub Stars, an open source knowledge base question and answer system based on large language models, exceeded 5,000!

Ranking

Getting the basic concepts of ROS + catkin Profile

Spring Learning (2) --- Assembling Beans in the IoC Container

js to get the src attribute of the image regularly

STM32 is based on CubeIDE and HAL library basics entry study notes: Bluetooth WIFI STM32 connects to Alibaba Cloud

Short video learning - 3, pandas simple use of pivot_table

Print directory of project configuration log, output log

Understand the difference between vi and vim in Linux in 3 minutes

1 + x certificate Web front-end development HTML5 special exercises

mangodb save and insert the difference

7-1 Family tree processing (50 points) (binary tree solution)

Daily

More

2024-05-13(8)

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)