Models of Neurons and Perceptrons: Selected Problems and Challenges

£139.50

Models of Neurons and Perceptrons: Selected Problems and Challenges

Cybernetics and systems theory Mathematical modelling Neurosciences Maths for engineers Artificial intelligence

Author: Andrzej Bielecki

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 17th May 2018

Format: LCP-protected ePub

Size: 2 Mb

ISBN: 9783319901404


Book 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.

Contents Overview

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.

Target Audience

Combining biological, mathematical and electronic approaches, this multidisciplinary book is 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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