Abstract
The general model of the perceptron is presented in this chapter. The model consists of two parts. The first one is a mathematical description of structure of the artificial neural network. The description is based on graph theory and it is very general. It is valid for each type of neural networks, not only for the perceptron. The formal basis of training process of the perceptron is presented in Sect. 8.2. Next, in Sect. 8.3, the training process of the perceptron is discussed in the context of dynamical systems theory.
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Bielecki, A. (2019). General Model of the Perceptron. In: Models of Neurons and Perceptrons: Selected Problems and Challenges. Studies in Computational Intelligence, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-319-90140-4_8
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DOI: https://doi.org/10.1007/978-3-319-90140-4_8
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-90140-4
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