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Springer Models of Neurons and Perceptrons - Vol 770

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Description

Explore the mathematical and biological foundations of neural structures with this specialized volume from the Studies in Computational Intelligence series. Published by Springer, this book examines models of the neuron and multilayer neural structures with a deep focus on mathematical modeling. Readers will find detailed analyses of electronic circuits used to represent neurons and synapses, exploring the direct relationship between these circuits and mathematical models. The text is divided into two comprehensive sections. The first part covers biological foundations and provides a broad overview of artificial neural networks. The second part transitions into mathematical foundations, covering elementary topics and complex subjects such as the topological conjugacy of dynamical systems and the shadowing property. This volume serves as a technical resource for those studying the intersection of biology, mathematics, and computational intelligence.

Key Features

This Springer publication provides detailed mathematical models of neurons and multilayer neural structures.

The text examines electronic circuits used as models for both the neuron and the synapse.

Part one offers a comprehensive overview of artificial neural networks and their biological foundations.

Part two covers mathematical foundations, including the topological conjugacy of dynamical systems.

This volume is part of the Studies in Computational Intelligence series, number 770.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 May 2018
Listed Since
16 March 2018

Barcode

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