% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mlp_helpers.R
\name{mlp_mse_fitness}
\alias{mlp_mse_fitness}
\title{MSE fitness function for MLP training}
\usage{
mlp_mse_fitness(params, X, Y, input_dim, hidden_dim, output_dim)
}
\arguments{
\item{params}{Numeric parameter vector.}

\item{X}{Input matrix.}

\item{Y}{Output matrix.}

\item{input_dim}{Number of input variables.}

\item{hidden_dim}{Number of hidden neurons.}

\item{output_dim}{Number of output neurons.}
}
\value{
Mean squared error.
}
\description{
Computes mean squared error for a single-hidden-layer MLP.
}
