Fabric Defect Type Recognition Based on Genetic Optimization SVM MATLAB Simulation

Fabric Defect Type Recognition Based on Genetic Optimization SVM MATLAB Simulation

🌠This work includes a complete runnableprogram, Chinese comments,and a program operation video 01 β€” πŸ”₯Software version: matlab2024b ✨Test results are as follows: 02 β€” 🌐Source code acquisition method: 🌐Open the “Read the original text” link at the bottom left of the article After opening, search for the algorithm name/keyword as prompted. 03 β€” πŸš€Algorithm Theory … Read more

Optimization of Cutting Parameters for Gear Discs Based on SVM and NSGA-II

Optimization of Cutting Parameters for Gear Discs Based on SVM and NSGA-II

1. Problem Background and Core Idea Core Issue: In the machining of gear discs (or other parts), we need to select a set of optimal cutting parameters (usually including cutting speed (v_c), feed rate (f), cutting depth (a_p) etc.) to simultaneously optimize multiple objectives, such as: Minimizing surface roughness (Ra) -> Improving product quality Maximizing … Read more

Implementation of Support Vector Machine (SVM) Model for Precipitation Prediction at Meteorological Stations Based on Random Search Parameter Optimization

Implementation of Support Vector Machine (SVM) Model for Precipitation Prediction at Meteorological Stations Based on Random Search Parameter Optimization

Python Implementation of Support Vector Machine (SVM) Model for Precipitation Prediction at Meteorological Stations Based on Random Search Parameter Optimization Author: Xu Haoyuan, Eighth Galaxy Email: [email protected] Data Description The data used in this article is the precipitation data from a meteorological station over the past 3 hours. It is not completely real data and … Read more

3DCNN and Its Combinations: Innovations and MATLAB Code

3DCNN and Its Combinations: Innovations and MATLAB Code

Introduction This issue introduces a method for bearing fault diagnosis based on multi-resolution mel analysis using 3DCNN. The general idea is to use Mel frequency spectrum analysis to convert one-dimensional fault data into three-dimensional data (as for how to achieve this, it is not convenient to disclose here!) and then input it into the 3DCNN … Read more

Load Forecasting Based on Variational Mode Decomposition and Sparrow Search Algorithm Optimized LSSVM [VMD-SSA-LSSVM] [Multivariate]

Load Forecasting Based on Variational Mode Decomposition and Sparrow Search Algorithm Optimized LSSVM [VMD-SSA-LSSVM] [Multivariate]

Click the blue text above to follow us πŸ“‹πŸ“‹πŸ“‹ The content of this article is as follows: 🎁🎁🎁 Directory πŸ’₯1 Overview 1.1 VMD Variational Mode Decomposition 1.2 LSSVM Least Squares Support Vector Machine 1.3 SSA Sparrow Search Algorithm πŸ“š2 Results 2.1 LSSVM 2.2 Sparrow Optimized LSSVM 2.3 Variational Mode Decomposition Optimized LSSVM 2.4 Variational Mode … Read more

Load Forecasting Based on Variational Mode Decomposition and Sparrow Search Algorithm Optimized LSSVM [VMD-SSA-LSSVM] [Multivariate]

Load Forecasting Based on Variational Mode Decomposition and Sparrow Search Algorithm Optimized LSSVM [VMD-SSA-LSSVM] [Multivariate]

Click the blue text above to follow us πŸ“‹πŸ“‹πŸ“‹ The content of this article is as follows: 🎁🎁🎁 Directory πŸ’₯1 Overview 1.1 VMD Variational Mode Decomposition 1.2 LSSVM Least Squares Support Vector Machine 1.3 SSA Sparrow Search Algorithm πŸ“š2 Results 2.1 LSSVM 2.2 Sparrow Optimized LSSVM 2.3 Variational Mode Decomposition Optimized LSSVM 2.4 Variational Mode … Read more