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ImNN  

Neural Networks for Predicting Volume of Forest Trees
View on CRAN: Click here


Download and install ImNN package within the R console
Install from CRAN:
install.packages("ImNN")

Install from Github:
library("remotes")
install_github("cran/ImNN")

Install by package version:
library("remotes")
install_version("ImNN", "0.1.0")



Attach the package and use:
library("ImNN")
Maintained by
M. Iqbal Jeelani
[Scholar Profile | Author Map]
First Published: 2023-10-12
Latest Update: 2023-10-12
Description:
Neural network has potential in forestry modelling. This package is designed to create and assess Artificial Intelligence based Neural Networks with varying architectures for prediction of volume of forest trees using two input features: height and diameter at breast height, as they are the key factors in predicting volume, therefore development and validation of efficient volume prediction neural network model is necessary. This package has been developed using the algorithm of Tabassum et al. (2022) .
How to cite:
M. Iqbal Jeelani (2023). ImNN: Neural Networks for Predicting Volume of Forest Trees. R package version 0.1.0, https://cran.r-project.org/web/packages/ImNN. Accessed 07 Apr. 2025.
Previous versions and publish date:
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Complete documentation for ImNN
Functions, R codes and Examples using the ImNN R package
Full ImNN package functions and examples
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