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

⛄1. How to obtain the code

How to obtain the code 1:
The complete code has been uploaded to my resources: [ElM classification] Optimizing extreme learning machine NGO-ElM data classification based on matlab northern goshawk algorithm [including Matlab source code 3118 issues]

Obtain code method 2:
Paid column Matlab intelligent algorithm neural network prediction and classification (junior version)

Remarks:
Click on the blue font paid column above Matlab Intelligent Algorithm Neural Network Prediction and Classification (Junior Edition) , scan the QR code above, and pay 29.9 yuan to subscribe to the Poseidon Light Blog paid column Matlab Intelligent Algorithm Neural Network Prediction and Classification (Junior Edition) , with payment voucher and private message to the blogger , you can get 1 copy of the CSDN resource code uploaded on this blog for free ( valid within three days from the subscription date);
click on the CSDN resource download link: 1 copy of the CSDN resource code uploaded on this blog

⛄2. Introduction to Northern Goshawk Algorithm Optimization Extreme Learning Machine NGO-ElM Data Classification

The Northern Goshawk Algorithm Optimized Extreme Learning Machine (NGO-ELM) is an optimization algorithm based on the foraging behavior of birds in nature. NGO-ELM simulates the foraging behavior of northern goshawks and optimizes the performance of the ELM algorithm by continuously adjusting the weights and biases of the hidden layer. This algorithm improves the accuracy of data classification by optimizing parameters (weights and thresholds)

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Origin blog.csdn.net/TIQCmatlab/article/details/132955579
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