Abstract
Artificial neural networks are systems whose structure is inspired by the action of the nervous system and the human brain. A neuron is the basic unit of a biological neural network. This neuron is shown in Fig. 3.1.a. The neuron consists of inputs called dendrites and output (to other neurons) called axon. The transmission of a signal from an axon to dendrites of other neurons goes through synaptic contacts. The signals transmitted from the synapse to dendrites are modified according to the synaptic strength of connection (synaptic weight).
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Czogała, E., Łęski, J. (2000). Artificial neural networks. In: Fuzzy and Neuro-Fuzzy Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 47. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1853-6_3
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DOI: https://doi.org/10.1007/978-3-7908-1853-6_3
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