Swipe to navigate through the chapters of this book
(Artificial) neural networks are information processing systems, whose structure and operation principles are inspired by the nervous system and the brain of animals and humans. They consist of a large number of fairly simple units, the so-called neurons, which are working in parallel. These neurons communicate by sending information in the form of activation signals, along directed connections, to each other.
Please log in to get access to this content
To get access to this content you need the following product:
The nervous system consists not only of neurons, not even for the largest part. Besides neurons there are various other cells, for instance, the so-called glia cells, which have a supporting function.
J.R. Anderson, Cognitive Psychology and its Implications, 4th edn. (Freeman, New York, NY, USA, 1995)
M.A. Boden (ed.), The Philosophy of Artificial Intelligence (Oxford University Press, Oxford, United Kingdom, 1990)
A. Newell, H.A. Simon. Computer Science as Empirical Enquiry: Symbols and Search. Communications of the Association for Computing Machinery 19. Association for Computing Machinery, New York, NY, USA 1976. Reprinted in [Boden 1990], 105–132
- Introduction to Neural Networks
- Springer London
- Sequence number
- Chapter number
- Chapter 2