Discriminant Analysis by Neural Networks

Abstract

The sections in this article are Introduction to Neural Networks Neural Network Algorithms Multilayer Feed‐Forward Neural Networks Kohonen Self‐Organizing Feature Maps ( SOMs ) Hopfield Network Other Neural Network Architectures Bidirectional Associative Memory ( BAM ) Network Radial Basis Function ( RBF ) Network Counterpropagation ( CP ) Network Hamming Network Holographic Network Applications of Discriminant Analysis in Vibrational Spectroscopy Applications to Mid‐Infrared Spectra Structural Feature Recognition Identification of Small Features and Classification of Spectra of Small Variance Applications of BAM , Hamming, and Holographic Networks Applications to NIR Spectra Applications to R aman Spectroscopy