Other packages > Find by keyword >

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 22 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited ImNN R package
View ImNN citation profile
Other R packages that ImNN depends, imports, suggests or enhances
Complete documentation for ImNN
Functions, R codes and Examples using the ImNN R package
Full ImNN package functions and examples
Downloads during the last 30 days
01/2301/2401/2501/2601/2701/2801/2901/3001/3102/0102/0202/0302/0402/0502/0602/0702/0802/0902/1002/1102/1202/1302/1402/1502/1602/1702/1802/1902/20Downloads for ImNN012345678910111213TrendBars

Today's Hot Picks in Authors and Packages

h0  
A Robust Bayesian Meta-Analysis for Estimating the Hubble Constant via Time Delay Cosmography
We provide a toolbox to conduct a Bayesian meta-analysis for estimating the current expansion rate o ...
Download / Learn more Package Citations See dependency  
LogicReg  
Logic Regression
Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperber ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
prediction  
Tidy, Type-Safe 'prediction()' Methods
A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always ...
Download / Learn more Package Citations See dependency  
mnj  
Machine Learning and Judgement
Perform FlexBoost in R. FlexBoost is a newly suggested algorithm based on AdaBoost by adjusting adap ...
Download / Learn more Package Citations See dependency  
poisson  
Simulating Homogenous & Non-Homogenous Poisson Processes
Contains functions and classes for simulating, plotting and analysing homogenous and non-homogenous ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,713

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA