Adaptive transfer functions (backpropagation neural nets)

Adaptive transfer functions (backpropagation neural nets)

The author details the approach and methodology used to build adaptive transfer functions in a feedforward backpropagation neural network and provides insight into the structure-dependent properties of using nonscaled analog inputs. The results of using adaptive transfer functions are shown to outpe...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Goulding, J.R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Backpropagation
Decoding
Encoding
Expert systems
Gears
Manufacturing
Mechanical power transmission
Neural networks
Process design
Transfer functions
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Beschreibung
Zusammenfassung:The author details the approach and methodology used to build adaptive transfer functions in a feedforward backpropagation neural network and provides insight into the structure-dependent properties of using nonscaled analog inputs. The results of using adaptive transfer functions are shown to outperform conventional architectures in the implementation of a mechanical power transmission gearbox design expert system knowledge base.< >
DOI:10.1109/IJCNN.1991.155396