Intelligent Simulation of Children's Psychological Path Selection Based on Chaotic Neural Network Algorithm.

Yue Wang

doi:10.1155/2021/5321153

Abstract

In recent years, there are many problems in the study of intelligent simulation of children's psychological path selection, among which the main problem is to ignore the factors of children's psychological path selection. Based on this, this paper studies the application of chaotic neural network algorithm in children's mental path selection. First, an intelligent simulation model for children's mental path selection based on chaotic neural network algorithm is established; second, it will combine the network based on different types of visual analysis strategies. The model is used to analyze the influencing factors of children in different regions in the choice of psychological paths. Finally, experiments are designed to verify the actual application effect of the simulation model. The results show that compared with the current mainstream intelligent simulation methods with iterative loop algorithms as the core, it adopts the intelligent simulation model based on the chaotic neural network algorithm has a good classification effect. It can effectively select the optimal psychological path according to the differences in children's personality and can adaptively classify children in different regions, and the experimental results are accurate. Compared with the traditional method, it is improved by at least 37%.

Highlights

E innovation of this paper lies in the chaotic neural network algorithm and how to establish the relevant model based on this algorithm. e simulation model established by the algorithm can realize the automatic classification of children in different regions and different family conditions in the same region and design different screening models according to this, which greatly increases the accuracy of the model
Experimental Results and Analysis. e evaluation index proposed in this research is frequency statistics [31,32,33,34,35]. e evaluation process is that in the iterative process, if the Hamming distance between the output of the network and a memory vector is 0 frequently, it can be considered that the memory vector is successfully identified
This paper studies the application of chaotic neural network algorithm in children’s mental path selection

Summary

Introduction

E innovation of this paper lies in the chaotic neural network algorithm and how to establish the relevant model based on this algorithm. e simulation model established by the algorithm can realize the automatic classification of children in different regions and different family conditions in the same region and design different screening models according to this, which greatly increases the accuracy of the model. E innovation of this paper lies in the chaotic neural network algorithm and how to establish the relevant model based on this algorithm. E simulation model established by the algorithm can realize the automatic classification of children in different regions and different family conditions in the same region and design different screening models according to this, which greatly increases the accuracy of the model. Is paper studies the application of chaotic neural network algorithm in the intelligent simulation of children’s psychological path selection, which is mainly divided into four sections.

Methods

Results

Conclusion