Optimization and Construction of AI Systems Using Artificial Intelligence Technology

In this article, artificial intelligence technology is applied to optimize the construction of artificial intelligence (AI) system. Traditional artificial intelligence technology has some problems such as data limitation, expert knowledge dependence and lack of interpretability. In view of the above problems, this project intends to use particle swarm optimization (PSO) to process and analyze the data so as to realize intelligent service. The aim of this article is to improve the performance and effect of artificial intelligence system and provide better user experience for users. First of all, how to use genetic algorithm to make automatic decision and optimization, and its application in practice are discussed. On this basis, intelligent algorithms and models are proposed to improve the system performance. On this basis, this project proposes an intelligent autonomous intelligent system based on PSO to achieve the fastest speed of 105 milliseconds per project. The system has the characteristics of high efficiency, high intelligence and high reliability, and can play a better role in different industries.

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Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1109/cicn63059.2024.10847359
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
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article

Optimization and Construction of AI Systems Using Artificial Intelligence Technology

Hong Guo, Peng Wu, Yali Guo
Advanced Research in Systems and Signal Processing
article

Optimization and Construction of AI Systems Using Artificial Intelligence Technology

Hong Guo, Peng Wu, Yali Guo
article en

Abstract

In this article, artificial intelligence technology is applied to optimize the construction of artificial intelligence (AI) system. Traditional artificial intelligence technology has some problems such as data limitation, expert knowledge dependence and lack of interpretability. In view of the above problems, this project intends to use particle swarm optimization (PSO) to process and analyze the data so as to realize intelligent service. The aim of this article is to improve the performance and effect of artificial intelligence system and provide better user experience for users. First of all, how to use genetic algorithm to make automatic decision and optimization, and its application in practice are discussed. On this basis, intelligent algorithms and models are proposed to improve the system performance. On this basis, this project proposes an intelligent autonomous intelligent system based on PSO to achieve the fastest speed of 105 milliseconds per project. The system has the characteristics of high efficiency, high intelligence and high reliability, and can play a better role in different industries.

Hankou University (CN)
Openalex Percentile: Top 68%
Advanced Research in Systems and Signal Processing
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