A new method for density estimation by using forward neural network

A new method for estimation of probability density function by using forward neural network is presented for the implementation of statistical process control. A new neural network estimator of continuous form is proposed. Simulation results illustrate the effectiveness of the proposed estimator. The relationship with other methods of estimation of density function is discussed. The proposed method can be extended to solve two-dimensional or multi-dimensional problems.