Review of Using Artificial Neural Networks for Wear Prediction (ePub)
(Sprache: Englisch)
Although the subject of wear prediction is constantly gaining importance in all aspects of mechanical engineering. This book covers a three types of artificial neural networks and their applications to wear prediction. It should help to put in proper...
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Although the subject of wear prediction is constantly gaining importance in all aspects of mechanical engineering. This book covers a three types of artificial neural networks and their applications to wear prediction. It should help to put in proper perspective the role of analytical models in various systems such as railway vehicle design activities.
This book contains an introduction about the neural networks, explanation about a three types of neural networks (RBFNN, BPNN, and NARXNN), and a review of wear prediction using neural networks.
Chapter 1 includes an introduction about the neural networks.
Chapter 2 presents the backpropagation neural networks (BPNN).
Chapter 3 presents the radial basis function neural network (RBFNN).
Chapter 4 presents the Nonlinear Autoregressive model with eXogenous input neural network (NARXNN).
Chapter 5 presents a review literature about the use of Artificial Neural Networks for Wear Prediction.
This book contains an introduction about the neural networks, explanation about a three types of neural networks (RBFNN, BPNN, and NARXNN), and a review of wear prediction using neural networks.
Chapter 1 includes an introduction about the neural networks.
Chapter 2 presents the backpropagation neural networks (BPNN).
Chapter 3 presents the radial basis function neural network (RBFNN).
Chapter 4 presents the Nonlinear Autoregressive model with eXogenous input neural network (NARXNN).
Chapter 5 presents a review literature about the use of Artificial Neural Networks for Wear Prediction.
Bibliographische Angaben
- Autor: Amer Shebani
- 2018, Englisch
- Verlag: Lulu.com
- ISBN-10: 0359108970
- ISBN-13: 9780359108978
- Erscheinungsdatum: 25.09.2018
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- Dateiformat: ePub
- Größe: 0.82 MB
- Mit Kopierschutz
Sprache:
Englisch
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