neuralnet: Training of Neural Networks

Canonical link: https://rscholar.com/pkg/neuralnet

Stefan Fritsch • Frauke Guenther • Marvin N. Wright • Marc Suling • Sebastian M. Mueller • View description and downloads View dependencies GitHub project

2008 Published

1.44.2 Version

0 Citations

5 Authors

Referenced by ⇅	Year
FSinR: Feature Selection (Version 2.0.5)	2019
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)	2022
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models (Version 0.1.0)	2023
CEEMDANML: CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
ConvertPar: Estimating IRT Parameters via Machine Learning Algorithms (Version 0.1)	2022
DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)	2024
EventDetectR: Event Detection Framework (Version 0.3.5)	2018
FRI: Relative Importance of Main and Interaction Effects (Version 1.0)	2022
FWRGB: Fresh Weight Determination from Visual Image of the Plant (Version 0.1.0)	2021
ImNN: Neural Networks for Predicting Volume of Forest Trees (Version 0.1.0)	2023
Imneuron: AI Powered Neural Network Solutions for Regression Tasks (Version 0.1.0)	2024
LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management (Version 1.2.2)	2019
MARSANNhybrid: MARS Based ANN Hybrid Model (Version 0.1.0)	2021
Modeler: Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)	2017
NeuralNetTools: Visualization and Analysis Tools for Neural Networks (Version 1.5.3)	2014
NeuralSens: Sensitivity Analysis of Neural Networks (Version 1.1.3)	2019
RSDA: R to Symbolic Data Analysis (Version 3.2.1)	2013
SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data (Version 2.2.5)	2021
TrafficBDE: Traffic Predictions Using Neural Networks (Version 0.1.2)	2018
WaveletML: Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
innsight: Get the Insights of Your Neural Network (Version 0.3.0)	2021
mcboost: Multi-Calibration Boosting (Version 0.4.3)	2021
misspi: Missing Value Imputation in Parallel (Version 0.1.0)	2023
mlr: Machine Learning in R (Version 2.19.2)	2013
nnfor: Time Series Forecasting with Neural Networks (Version 0.9.9)	2017
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)	2011
quarrint: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks (Version 1.0.0)	2016
trackdem: Particle Tracking and Demography (Version 0.7.2)	2017
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)	2019
vip: Variable Importance Plots (Version 0.4.1)	2018

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