Neural Networks Methodology and Applications /
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, m...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Neural Networks: An Overview
- Modeling with Neural Networks: Principles and Model Design Methodology
- Modeling Metholodgy: Dimension Reduction and Resampling Methods
- Neural Identification of Controlled Dynamical Systems and Recurrent Networks
- Closed-Loop Control Learning
- Discrimination
- Self-Organizing Maps and Unsupervised Classification
- Neural Networks without Training for Optimization.