Abstract
The early works around 1960 on learning machines may be characterized as attempts to implement artificial intelligence using formal models of neurons and Perceptron networks, obviously in the hope that more and more complex functions would gradually evolve from such structures. There is no doubt about the biological organisms having that fundamental organization. Why was the success in artificial constructs not straightforward as expected? Below I am aiming at a critical analysis, mainly with an objective to find amendments to the early ideas.
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© 1989 Springer-Verlag Berlin Heidelberg
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Kohonen, T. (1989). A New Approach to Adaptive Filters. In: Self-Organization and Associative Memory. Springer Series in Information Sciences, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88163-3_4
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DOI: https://doi.org/10.1007/978-3-642-88163-3_4
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