Methods and tools for analysing and validating the outputs and modelled functions of artificial neural networks (ANNs) in terms of predictive, replicative and structural validity. Also provides a method for fitting feed-forward ANNs with a single hidden layer.
Package details |
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| Maintainer | |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| URL | http://github.com/gbhumphrey1/validann |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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