Application of Neural Network in the Analysis of Near-infrared Spectra

A practical manual neural network model was designed to make the location of target and predication.We used error backward direction propagation calculation method and established three-layer neural(network) to solve the problems of serious overlap of spectral peaks and big noise in the spectrum analysis.When the quantity of samples to be located is significant,We employed manual neural network method to(analyze) and discuss the corn's protein content and near-infrared spectrum.By analyzing the experimental(result) it is concluded that manual neural network method is superior to linear regression method and partial(least-squares) method.