% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AutoNN.R
\name{AutoNN}
\alias{AutoNN}
\title{AutoNN}
\usage{
AutoNN(Data, IN, size, out_forecast)
}
\arguments{
\item{Data}{Time series data used for the study}

\item{IN}{Maximum number of input nodes}

\item{size}{Maximum number of hidden nodes}

\item{out_forecast}{Number of output periods to be predicted}
}
\value{
A list containing:
\itemize{
  \item Best_Model
  \item Final_Results
  \item AutoNN_model
  \item Fitted
  \item Forecast
}
}
\description{
Automatic Neural Network Modeling for Time Series Forecasting
}
\examples{
ts_data  <- nottem
Model <- AutoNN(Data = ts_data , IN = 3, size = 5, out_forecast = 12)
Model


}
\references{
1. Shankar, S. V., Chandel, A., Gupta, R. K., Sharma, S., Chand, H., Aravinthkumar, A., & Ananthakrishnan, S. (2025). Comparative study on key time series models for exploring the agricultural price volatility in potato prices. Potato Research, 68(2), 1189-1207. DOI  https://doi.org/10.1007/s11540-024-09776-3
}
