Sensitivity Analysis for Neural Networks
Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing t...
Κύριοι συγγραφείς: | Yeung, Daniel S. (Συγγραφέας), Cloete, Ian (Συγγραφέας), Shi, Daming (Συγγραφέας), Ng, Wing W. Y. (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Σειρά: | Natural Computing Series,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Computational Intelligence Principles, Techniques and Applications /
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Sensitivity Analysis for Neural Networks
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Evolving Connectionist Systems The Knowledge Engineering Approach /
ανά: Kasabov, Nikola
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Advances in Chaos Theory and Intelligent Control
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Symbiotic Multi-Robot Organisms Reliability, Adaptability, Evolution /
ανά: Levi, Paul, κ.ά.
Έκδοση: (2010)