Development and Application of Artificial Intelligence Technology Based on Machine Learning Algorithm

Zhu, Dongge; Lu, Jia; Xia, Xuwei; Yan, Zhenhua

doi:10.1007/978-3-030-70042-3_94

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the perspective of practical research, the most commonly used technique of linear regression algorithm is the least square method, which can accurately calculate the best fitting line and ensure the minimum vertical distance of all data points on the line, and the total distance is the sum of the squares of the vertical distances of all data points. [7][8][9] Second, logistic regression. This algorithm is very similar to linear regression and is mainly used to output binary.…”

Section: Machine Learning Algorithmmentioning

confidence: 99%

How to apply machine learning algorithms in artificial intelligence

Yang¹

2023

AETR

View full text Add to dashboard Cite

Machine learning as the basic component of artificial intelligence, in the rapid development of network and computer technology has put forward a number of research topics, a variety of theoretical basis and practical application layer out of endless, which not only changes people's traditional production and life mode, but also provides technical support for the new era of urban construction and development. Therefore, after understanding the basic concepts and development stages of artificial intelligence and machine learning algorithms, this paper mainly explores the research content of machine learning proposed based on artificial intelligence, and master the concepts and application directions of different machine learning algorithms, so as to provide effective basis for theoretical and technological research in the field of artificial intelligence in the new era.

show abstract

Section: Machine Learning Algorithmmentioning

confidence: 99%

How to apply machine learning algorithms in artificial intelligence

Yang¹

2023

AETR

View full text Add to dashboard Cite

show abstract

“…Especially in the graph processing and speech recognition work, after the construction of the deep network structure, the complex mapping from the bottom to the top semantic is easier to be established, so it has strong recognition ability and learning ability. By comparing and analyzing traditional shallow learning models, we can see that deep learning models have unique advantages, and the specific results are shown in Table 1 below: [7][8][9][10][11] Table 1 Based on the analysis of the above table, it can be seen that deep learning algorithm can achieve the basic goal of effective control in independent learning, has low dependence on bright knowledge and work experience, has strong convergence performance, and has a large number of local optimal solutions. As a form of deep neural network learning algorithm, the nodes contained in the visible layer and the hidden layer are not connected.…”

Section: Deep Machine Learning Algorithmmentioning

confidence: 99%

The development and application of UAV intelligent machine learning system based on artificial intelligence

Zheng¹

2023

AEHSSR

View full text Add to dashboard Cite

In the rapid development of artificial intelligence technology, some scholars proposed to integrate artificial intelligence and UAV technology together, comprehensively improve the application technology level of UAV, and truly meet the needs of information collection and processing in different fields. According to the application of UAV technology means in recent years, whether in the military field or the civil field, UAV has a very broad prospect for development. Intelligent UAV will replace the traditional UAV in a comprehensive way. Therefore, Chinese scientific research field should strengthen the integration of artificial intelligence and UAV technology research and development efforts, so as to guide the sustainable and healthy development of our UAV cause. After understanding the advantages of artificial intelligence and UAV technology, this paper mainly explores the development and application of UAV intelligent machine learning system according to the existing UAV technical means and artificial intelligence algorithm, and takes the UAV intelligent machine learning system in the agricultural field as an example to effectively verify the reliability of the application algorithm.

show abstract

Development and Application of Artificial Intelligence Technology Based on Machine Learning Algorithm

Cited by 2 publications

References 0 publications

How to apply machine learning algorithms in artificial intelligence

How to apply machine learning algorithms in artificial intelligence

The development and application of UAV intelligent machine learning system based on artificial intelligence

Contact Info

Product

Resources

About