Wolf pack algorithm based on Matlab optimizes BP neural network data prediction - Code World

Wolf pack algorithm based on Matlab optimizes BP neural network data prediction

Mobile 2023-09-16 23:11:35 views: null

Wolf pack algorithm based on Matlab optimizes BP neural network data prediction

Wolf Pack Algorithm is an optimization algorithm based on the behavior of wolves in nature. It simulates the leadership hierarchy and hunting behavior of wolves. Combining the wolf pack algorithm and BP neural network can improve the accuracy and efficiency of data prediction. This article will introduce how to use Matlab to implement a BP neural network data prediction model optimized based on the wolf pack algorithm, and provide the corresponding source code.

First, we need to prepare the dataset. The data set should include input variables (independent variables) and target variables (dependent variables). Suppose our data set is a matrix X containing n samples, where each row represents the input variable of one sample and another matrix Y contains the corresponding target variable.

Next, we will use the Neural Network Toolbox in Matlab to create a BP neural network. The following is a source code example for creating and training a BP neural network:

% 创建BP神经网络
net = feedforwardnet([10 5]);

% 设置训练参数
net

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Origin blog.csdn.net/2301_79326254/article/details/132902516

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