A dynamic annealing learning for PLSOM neural networks: Applications in medicine and applied sciences

Hameed, Alaa Ali

doi:10.1016/j.jrras.2023.100691

Cited by 2 publications

(1 citation statement)

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“…This improvement can effectively suppress the map distortion, improve the convergence of the algorithm, enhance its adaptability and topological preservation. Extensive experimental results prove the consistency and robustness of the method, and point out that the improvement has important application value in practice 25 . This section discusses the species identification system for down, which has been designed to be interactive and easy to use.…”

Section: Related Workmentioning

confidence: 65%

Enhancing computer image recognition with improved image algorithms

Huang,

Yao,

Zhang

et al. 2024

Sci Rep

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Advances in computer image recognition have significantly impacted many industries, including healthcare, security and autonomous systems. This paper aims to explore the potential of improving image algorithms to enhance computer image recognition. Specifically, we will focus on regression methods as a means to improve the accuracy and efficiency of identifying images. In this study, we will analyze various regression techniques and their applications in computer image recognition, as well as the resulting performance improvements through detailed examples and data analysis. This paper deals with the problems related to visual image processing in outdoor unstructured environment. Finally, the heterogeneous patterns are converted into the same pattern, and the heterogeneous patterns are extracted from the fusion features of data modes. The simulation results show that the perception ability and recognition ability of outdoor image recognition in complex environment are improved.

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Section: Related Workmentioning

confidence: 65%