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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Fuzzy Spiking Neural Networks
• Podnázev: Obtaining Fuzzy Reasoning from Spiking Behaviour
• Autor: Cornelius Glackin
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 192
• EAN: 9783639283105
• ISBN: 3639283104
• ID: 06835481
• Nakladatelství: VDM Verlag
• Hmotnost: 290 g
• Rozměry: 229 × 152 × 11 mm
• Datum vydání: 31. August 2010

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