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Academic Journal of Computing & Information Science, 2024, 7(3); doi: 10.25236/AJCIS.2024.070315.

Research and Application of Data Classification Algorithm Based on Deep Learning

Author(s)

Du Yunsheng

Corresponding Author:
Du Yunsheng
Affiliation(s)

Beijing Jiaotong University, Beijing, 100000, China

Abstract

This study focuses on exploring the potential of deep learning in data classification algorithms, particularly in the era of big data. As data continues to grow rapidly, accurate classification has become a crucial task in information processing and machine learning. Deep learning, a powerful machine learning technique, has emerged as a prominent approach for data classification. By leveraging deep neural networks, deep learning can automatically extract intricate features from data, enabling precise classification of complex datasets. Compared to traditional machine learning algorithms, deep learning exhibits superior feature representation capabilities and higher classification accuracy, offering a novel solution for data classification challenges.Within this study, we conduct a thorough analysis and comparison of several representative deep learning classification algorithms. Specifically, we delve into the classification methodologies of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Deep Belief Networks (DBNs). Furthermore, we evaluate their performance in data classification tasks through rigorous experiments. These algorithms each possess unique characteristics, making them suitable for diverse data classification scenarios and providing a rich array of options for practical applications.Moreover, we emphasize the practical application of deep learning in data classification. To this end, we select several representative datasets encompassing various domains, such as image recognition, speech recognition, and natural language processing. Through experimental validations, we demonstrate the effectiveness of deep learning algorithms in enhancing data classification accuracy. The experimental results underscore the remarkable performance of deep learning in improving classification accuracy, thereby strengthening its applicability in numerous fields.Looking ahead, we anticipate an even more extensive and profound application of deep learning in the realm of data classification.

Keywords

deep learning; Data classification; Neural network; Convolutional neural network; Circulating neural network; Deep belief network

Cite This Paper

Du Yunsheng. Research and Application of Data Classification Algorithm Based on Deep Learning. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 3: 103-109. https://doi.org/10.25236/AJCIS.2024.070315.

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