Two different artificial neural networks (ANNs) for infrared spectra analysis are presented: the self-organising Kohonen ANN for mapping of the infrared spectra into a 2-D plane and the counterpropagation ANN for determination of the structural features of organic compounds based on their infrared spectra. The preliminary learning in the Kohonen ANN with all spectra from the collection yields t...

Short-Range Correlation Models in Electronic Structure Theory by Matthew Bryant Goldey Doctor of Philosophy in Chemistry University of California, Berkeley Professor Martin Head-Gordon, Chair Correlation methods within electronic structure theory focus on recovering the exact electronelectron interaction from the mean-field reference. For most chemical systems, including dynamic correlation, th...

This paper describes the application of the Relaxation By Elimination (RBE) method to matching the 3D structure of molecules in chemical databases within the frame work of binary correlation matrix memories. The paper illustrates that, when combined with distributed representations, the method maps well onto these networks, allowing high performance implementation in parallel systems. It outlin...

The stochastic solution to a diffusion equations with polynomial coefficients is called a Pearson diffusion. If the first time derivative is replaced by a Caputo fractional derivative of order less than one, the stochastic solution is called a fractional Pearson diffusion. This paper develops an explicit formula for the covariance function of a fractional Pearson diffusion in steady state, in t...

It is commonly believed that the correlations between stock returns increase in high volatility periods. We investigate how much of these correlations can be explained within a simple non-Gaussian one-factor description with time independent correlations. Using surrogate data with the true market return as the dominant factor, we show that most of these correlations, measured by a variety of di...

The statistical signatures of the ‘credit crunch’ financial crisis that unfolded between 2008 and 2009 are investigated by combining tools from statistical physics and network theory. We devise measures for the collective behavior of stock prices based on the construction of topologically constrained graphs from cross-correlation matrices. We test the stability, statistical significance and eco...

With the successful implementation of the Wide Area Augmentation System (WAAS) for the North America, there is interest in implementing similar systems in other parts of the world. The ionosphere over certain parts of the globe, notably equatorial regions and Brazil in particular, can have a far greater impact on the signals received from the satellites. The Ionospheric corrections form an inte...

The study tests the hypothesis that conditional probability judgments can be influenced by causal links between the target event and the evidence even when the statistical relations among variables are held constant. Three experiments varied the causal structure relating three variables and found that (a) the target event was perceived as more probable when it was linked to evidence by a causal...

In this paper a correction factor for Jennrich’s statistic is introduced in order to be able not only to test the stability of correlation structure, but also to identify the time windows where the instability occurs. If Jennrich’s statistic is only to test the stability of correlation structure along predetermined non-overlapping time windows, the corrected statistic provides us with the histo...

MOTIVATION Accurate, context-specific regulation of gene expression is essential for all organisms. Accordingly, it is very important to understand the complex relations within cellular gene regulatory networks. A tool to describe and analyze the behavior of such networks are Boolean models. The reconstruction of a Boolean network from biological data requires identification of dependencies wit...