Neural Networks in Chemical and Physical Systems

This book highlights applications in the chemical and physical sciences. It covers many diverse topics, such as physical property predictions, predictions of spectroscopy and deconvolution of spectra.Contents: A Quick Tutorial on Artificial Neural Networks; Identification of Electron Impact Mass Spectrometry in Composite Spectra of Mixtures Using Artificial Neural Network Techniques; Artificial Neural Network Extrapolations of Heat Capacities of Polymers to Very Low Temperatures; Spectroscopic Identification of Individual Molecules in Composite Spectra Using Artificial Neural Networks; Artificial Neural Network Modeling of Monte Carlo Simulations of Statistical Properties of Polymers; Prediction of Potential Antimigraine Activity Using Artificial Neural Networks; How a Neural Network Approach Can Be Used for the Investigation of Chemical Phenomena; Neural Network's Used in Error Correction for Solving Coupled Ordinary Differential Equations; Using the Weightspace of an Autoassociative Neural Network to Identify Functions; Applications of Neural Networks in Polymer Properties Simulations; Application of Neural Network Computing to the Solution for the Ground State Eigenenergy of Two-Dimensional Harmonic Oscillators.