Least Multiplier Support Vector Machine (LSSVM) prediction and Matlab implementation based on improved bat algorithm - Code World

Least Multiplier Support Vector Machine (LSSVM) prediction and Matlab implementation based on improved bat algorithm

Enterprise 2023-09-12 07:29:36 views: null

Least Multiplier Support Vector Machine (LSSVM) prediction and Matlab implementation based on improved bat algorithm

Bat Algorithm is an optimization algorithm developed based on the behavioral patterns of bats in nature. It simulates the search behavior of bats during foraging and is used to solve various problems, including function optimization, machine learning, etc. This article will introduce how to use the improved bat algorithm to optimize the least multiplied support vector machine (LSSVM) model, and provide Matlab implementation code.

LSSVM is a very useful machine learning algorithm that is an improvement on the traditional support vector machine (SVM). LSSVM has good performance in solving classification and regression problems and is generally faster to train than traditional SVM models. However, the optimization of LSSVM still faces certain challenges when dealing with large-scale data sets. At this time, using the bat algorithm to improve the performance of LSSVM is an effective method.

The following is a Matlab implementation of optimizing the LSSVM model using the improved bat algorithm:

% 步骤 1: 准备数据
load('data.mat'); % 加载数据集
X = data(:

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Origin blog.csdn.net/2301_78484069/article/details/132820692

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