Package: ImNN
Type: Package
Title: Neural Networks for Predicting Volume of Forest Trees
Version: 0.1.0
Authors@R: c(person("M. Iqbal", "Jeelani", role = c("aut","cre"), email = "jeelani.miqbal@gmail.com"),
    person("Fehim", "Jeelani", role = "aut", email = "faheemwani@skuastkashmir.ac.in"),
    person("Shakeel Ahmad", "Mir", role = "aut"),
    person("Syed Naseem", "Geelani", role = "aut"),
    person("Mushtaq Ahmad", "Lone", role = "aut"),
    person("Nazir A.", "Pala", role = "aut"),
    person("Faizan", "Danish", role = "aut"),
    person("Afshan", "Tabassum", role = "aut"),
    person("Khalid Ul", "Islam", role = "aut"),
    person("Imran", "Rashid", role = "aut"),
    person("Md", "Yeasin", role = "aut"))
Author: M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Shakeel Ahmad
        Mir [aut], Syed Naseem Geelani [aut], Mushtaq Ahmad Lone [aut],
        Nazir A. Pala [aut], Faizan Danish [aut], Afshan Tabassum
        [aut], Khalid Ul Islam [aut], Imran Rashid [aut], Md Yeasin
        [aut]
Maintainer: M. Iqbal Jeelani <jeelani.miqbal@gmail.com>
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) <doi:10.18805/ag.D-5555>.
License: GPL-3
Encoding: UTF-8
Imports: stats, MLmetrics, ggplot2, neuralnet
RoxygenNote: 7.2.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-10-08 09:22:27 UTC; root
Repository: https://imiqbal.r-universe.dev
Date/Publication: 2023-10-12 19:30:27 UTC
RemoteUrl: https://github.com/cran/ImNN
RemoteRef: HEAD
RemoteSha: a0cea468e0526447db5651483383206abd731c2f