
Neural Networks with Discontinuous/Impact Activations Softcover reprint of the original 1st ed. 2014 Edition
Author(s): Marat Akhmet (Author), Enes Yılmaz (Author)
- Publisher: Springer
- Publication Date: August 23, 2016
- Edition: Softcover reprint of the original 1st ed. 2014
- Language: English
- Print length: 179 pages
- ISBN-10: 149394598X
- ISBN-13: 9781493945986
Book Description
This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural because huge velocities and short distances are usually observed in devices modeling the networks. A discussion of the models, appropriate for the proposed applications, is also provided.
Editorial Reviews
From the Back Cover
This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural because huge velocities and short distances are usually observed in devices modeling the networks. A discussion of the models, appropriate for the proposed applications, is also provided.
This book also:
Explores questions related to the biological underpinning for models of neural networks\
Considers neural networks modeling using differential equations with impulsive and piecewise constant argument discontinuities
Provides all necessary mathematical basics for application to the theory of neural networks
Neural Networks with Discontinuous/Impact Activations Softcover reprint of the original 1st ed. 2014 Edition is an ideal book for researchers and professionals in the field of engineering mathematics that have an interest in applying these systems to computational problems.
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