An Introduction to Neural Networks
Anderson, James A.
Vendu par The Book Spot, Sioux Falls, MN, Etats-Unis
Vendeur AbeBooks depuis 5 février 2013
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Ajouter au panierVendu par The Book Spot, Sioux Falls, MN, Etats-Unis
Vendeur AbeBooks depuis 5 février 2013
Etat : Neuf
Quantité disponible : 1 disponible(s)
Ajouter au panierN° de réf. du vendeur Abebooks28162
Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.
The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
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