Abstract
A new algebraic method, the so-called “structure theory” developed by Blickle and coworkers applied to solving a wide-range of chemical engineering problems proves to be a very useful tool for learning processes. The learning algorithms based on the structure theory consist of the following steps: labelling, feature selection, training, determination of the structure and recognition.
As an example, the application of the structure theoretidal learning algorithms is given in the analytical chemistry, where the interpretation of signals can be regarded as a pattern recognition process.
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References
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© 1978 The World Organisation of General Systems and Cybernetics
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Veress, G.E., Blickle, T., Isaszegi-Vass, I., Pungor, E., Seitz, K. (1978). Application of the Structure Theory in Learning Systems. In: Rose, J. (eds) Current Topics in Cybernetics and Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93104-8_106
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DOI: https://doi.org/10.1007/978-3-642-93104-8_106
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