Qualitatively faithful quantitative prediction

Old faithful.

Characterising Meanders Qualitatively

In this paper, a qualitative shape representation is described for the purpose of characterising linear geographical and artificial objects. In particular, we focus on the curve progression telling us how objects spread across the landscape. For instance, sinuosities of rivers provide important information about imperilled locations in the case of flood waters. However, precise geometrical desc...

Qualitatively Constrained Equation Discovery

Equation discovery is a very lively area of artificial intelligence which deals with explaining phenomena by mathematical formulae induced from the data. One successful approach to the problem are algorithms which construct thousands of formulae and report the simplest ones with the best fit to the data. Another, sub-symbolic, fits (piecewise) regression hyper-planes; their advantage is that th...

Quantitative Modeling for Prediction of Critical Temperature of Refrigerant Compounds

The quantitative structure-property relationship (QSPR) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. Molecular descriptors calculated from structure alone were used to represent molecular structures. A subset of the calculated descriptors selected using a genetic algorithm (GA) was used in the QSPR model development...

On Qualitatively Unstable Objects

I present in this paper a certain classification of objects with respect to their qualitative stability, i.e., with respect whether they change their qualities. The resulting classification is a flat typology of objects with two facets and three types in each facet. Assuming this classification the paper is then focused on one of these types: very weakly unstable objects. In particular, I discu...