Models of Neurons and Perceptrons: Selected Problems and Challenges
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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2019, 2019
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| Series: | Studies in Computational Intelligence
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preliminaries
- Foundations of artificial neural networks
- Part II: Mathematical foundations
- General foundations
- Foundations of dynamical systems theory
- Part III: Mathematical models of the neuron
- Models of the whole neuron
- Models of parts of the neuron
- Part IV: Mathematical models of the perceptron
- General model of the perceptron
- Linear perceptrons
- Weakly nonlinear perceptrons
- Nonlinear perceptrons
- Concluding remarks and comments.