Sensitivity analysis of radial basis function networks for river stage forecasting

Sensitivity analysis of neural networks to input variation is an important research area as it goes some way to addressing the criticisms of their black-box behaviour. Such analysis of RBFNs for hydrological modelling has previously been limited to exploring perturbations to both inputs and connecti...

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Bibliographic Details
Main Author: Christian Dawson
Format: Default Article
Published: 2020
Subjects:
Software engineering not elsewhere classified
Artificial Neural Networks
Backward Chaining
Multi-Layer Perceptron
Partial Derivative
Radial Basis Function
Sensitivity Analysis
River Stage Forecasting
Computer Software
Online Access:https://hdl.handle.net/2134/13560545.v1
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https://hdl.handle.net/2134/13560545.v1

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