Description: This book describes models of the neuron and multilayer neural structures, with a particular focus on mathematical models. It also discusses electronic circuits used as models of the neuron and the synapse, and analyses the relations between the circuits and mathematical models in detail. The first part describes the biological foundations and provides a comprehensive overview of the artificial neural networks. The second part then presents mathematical foundations, reviewing elementary topics, as well as lesser-known problems such as topological conjugacy of dynamical systems and the shadowing property. The final two parts describe the models of the neuron, and the mathematical analysis of the properties of artificial multilayer neural networks. Combining biological, mathematical and electronic approaches, this multidisciplinary book it useful for the mathematicians interested in artificial neural networks and models of the neuron, for computer scientists interested in formal foundations of artificial neural networks, and for the biologists interested in mathematical and electronic models of neural structures and processes.
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EAN: 9783319901398
UPC: 9783319901398
ISBN: 9783319901398
MPN: N/A
Item Length: 23.4 cm
Number of Pages: 156 Pages
Publication Name: Models of Neurons and Perceptrons: Selected Problems and Challenges
Language: English
Publisher: Springer International Publishing Ag
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science, Biology, Mathematics
Publication Year: 2018
Type: Textbook
Item Weight: 2488 g
Author: Andrzej Bielecki
Item Width: 155 mm
Format: Hardcover
