Abstract
Recently, the applications of Artificial Intelligence are widely spread in many areas of research. They almost use tailor made classification engine of Deep Learning, and many of such engines uses Convolutional Neural Networks. In this paper, we propose a method for preprocessing the un-structured data to the 2 dimensional data suitable for CNN using Self Organizing Map. The performance is evaluated with the experiments using KDD cup 99 data as input vectors.
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Dozono, H., Tanaka, M. (2019). Application of Self Organizing Map to Preprocessing Input Vectors for Convolutional Neural Network. In: Tetko, I., Kůrková, V., Karpov, P., Theis, F. (eds) Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. ICANN 2019. Lecture Notes in Computer Science(), vol 11728. Springer, Cham. https://doi.org/10.1007/978-3-030-30484-3_8
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DOI: https://doi.org/10.1007/978-3-030-30484-3_8
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