ImNN
Neural Networks for Predicting Volume of Forest Trees
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)
- Version0.1.0
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release10/12/2023
Team
M. Iqbal Jeelani
Fehim Jeelani
Show author detailsRolesAuthorShakeel Ahmad Mir
Show author detailsRolesAuthorSyed Naseem Geelani
Show author detailsRolesAuthorMushtaq Ahmad Lone
Show author detailsRolesAuthorNazir A. Pala
Show author detailsRolesAuthorFaizan Danish
Show author detailsRolesAuthorAfshan Tabassum
Show author detailsRolesAuthorKhalid Ul Islam
Show author detailsRolesAuthorImran Rashid
Show author detailsRolesAuthorMd Yeasin
Show author detailsRolesAuthor
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- Depends1 package
- Imports4 packages