2021
DOI: 10.3390/s21217221
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Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks

Abstract: Convolutional neural networks have become one of the most powerful computing tools of artificial intelligence in recent years. They are especially suitable for the analysis of images and other data that have an inherent sequence structure, such as time series data. In the case of data in the form of vectors of features, the order of which does not matter, the use of convolutional neural networks is not justified. This paper presents a new method of representing non-sequential data as images that can be analyze… Show more

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