Artículos relacionados a Models of Neurons and Perceptrons: Selected Problems...

Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770) - Tapa dura

Libro 285 de 538: Studies in Computational Intelligence

Bielecki, Andrzej

 
9783319901398: Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770)
Tapa dura
ISBN 10: 3319901397 ISBN 13: 9783319901398
Editorial: Springer, 2018

Sinopsis

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. 

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319901397
ISBN 13 
9783319901398
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
164
Contacto del fabricante
no disponible
Persona responsable
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Alemania