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validann: Validation Tools for Artificial Neural Networks
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.
Getting started
Browse package contents
Package details |
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| Author | Greer B. Humphrey [aut, cre] |
| Maintainer | Greer B. Humphrey <greer.humphrey@student.adelaide.edu.au> |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| URL | http://github.com/gbhumphrey1/validann |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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