Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO) - Code World

Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO)

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Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO). 1. Classification can also be replaced with regression or time series prediction model, free replacement without price increase ~ optimization parameters are: learning rate, batch size, regularization parameters. There are many diagrams, including classification effect diagrams, iterative optimization diagrams, and confusion matrix diagrams, which fully meet your needs~
2. The northern goshawk optimization algorithm is a new algorithm in 2022~ It simulates the behavior of the northern goshawk in the hunting process, including Prey recognition and attack, chasing and escape behaviors have the advantages of fast convergence speed and strong optimization ability.
Binary classification and multi-classification models with multi-feature input and single output. The comments in the program are detailed, and it can be used directly by replacing the data. The program language is matlab, and the program can produce classification effect diagrams, iterative optimization diagrams, and confusion matrix diagrams. Subscribing to a column can only get one code in the column.

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Origin blog.csdn.net/m0_57362105/article/details/132245279

Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO)

Classification prediction | Matlab implements NGO-CNN-SVM northern goshawk algorithm optimization convolution support vector machine classification prediction

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

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

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

Classification prediction | Matlab implements CNN-GSSVM convolutional neural network combined with grid search algorithm to optimize support vector machine multi-feature classification prediction

Multivariate Klassifizierungsvorhersage | Matlab optimiert die Klassifizierungsvorhersage der Convolutional Neural Network-Support Vector Machine (CNN-SVM) basierend auf dem NGO-CNN-SVM Northern Goshawk-Algorithmus (NGO)

Multivariate Klassifizierungsvorhersage | Matlab optimiert die Klassifizierungsvorhersage der Convolutional Neural Network-Support Vector Machine (CNN-SVM) basierend auf dem NGO-CNN-SVM Northern Goshawk-Algorithmus (NGO)

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

[ElM Classification] Optimizing Extreme Learning Machine NGO-ElM Data Classification Based on Matlab Northern Goshawk Algorithm [Including Matlab Source Code Issue 3118]

Classification prediction | MATLAB implements WOA-FS-SVM whale algorithm synchronous optimization feature selection combined with support vector machine classification prediction

Classification prediction | MATLAB implements multi-input classification prediction based on SVM-Adaboost support vector machine combined with AdaBoost

다변량 분류 예측 | Matlab은 NGO-CNN-SVM Northern Goshawk Algorithm(NGO)을 기반으로 CNN-SVM(Convolutional Neural Network-Support Vector Machine) 분류 예측을 최적화합니다.

Prédiction de classification multivariée | Matlab optimise la prédiction de classification de la machine à vecteurs de support de réseau neuronal convolutif (CNN-SVM) basée sur l'algorithme NGO-CNN-SVM Northern Goshawk Algorithm (NGO)

Classification prediction | MATLAB implements DBN-SVM deep belief network combined with support vector machine multi-input classification prediction

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

Time series prediction | MATLAB implements NGO-GRU Northern Goshawk algorithm to optimize gated cycle unit time series prediction

Time series prediction | MATLAB implements NGO-LSTM northern goshawk algorithm to optimize long short-term memory network time series prediction

Time series prediction | MATLAB implements NGO-BiLSTM northern goshawk algorithm to optimize bidirectional long short-term memory network time series prediction

Classification prediction | Matlab implements multi-input classification prediction based on LFDA-SVM local Fisher discriminant data dimensionality reduction combined with support vector machine

Classification prediction | MATLAB implements WOA whale algorithm synchronous optimization feature selection combined with support vector machine 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

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

[SVM prediction] SVM support vector machine prediction model optimized by gray wolf algorithm [Matlab 008]

[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

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