Kniha Fuzzy Spiking Neural Networks Cornelius Glackin

Fuzzy Spiking Neural Networks

Obtaining Fuzzy Reasoning from Spiking Behaviour

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: Skladem u dodavatele
Odesíláme za 14-21 dnů
1 583
Spiking neurons represent the latest generation of neural networks designed to be more biologically...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
192
EAN
9783639283105
ISBN
3639283104
Enbook ID
06835481
Vydavatel
Hmotnost
290
Rozměry
152 x 229 x 11

Kompletní popis

Spiking neurons represent the latest generation of neural networks designed to be more biologically realistic than more traditional artificial neural networks. This book provides a hands-on historical perspective on the development of neural networks, and investigates state-of-the-art methods for designing spiking neural networks to solve complex engineering problems. In particular, the book discusses the trade-off between biological plausibility and computational complexity of the numerous alternative models for the electrical properties of the neuron membrane, the electro-chemical interactions at the synapse, and for implementing learning. Often there is a trade-off between the sizes of the networks that can be implemented, and the complexity of the individual neurons in the network. The book investigates the definite lack of a rationale for organising all the different models in a network sense. This investigation has culminated in the development of the fuzzy spiking neural network (FSNN), which utilises fuzzy logic as a rationale for the deployment of biological models within a spiking neural network.

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