Title :
Modelling conditional probability distributions for periodic variables
Author :
Nabney, I.T. ; Bishop, C.M. ; Legleye, C.
Author_Institution :
Neural Comput. Res. Group, Aston Univ., Birmingham, UK
Abstract :
Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce two novel techniques for tackling such problems, and investigate their performance using synthetic data. We then apply these techniques to the problem of extracting the distribution of wind vector directions from radar scatterometer data gathered by a remote-sensing satellite
Keywords :
neural nets; probability; conditional probability distributions; neural networks; periodic variables; radar scatterometer data; remote-sensing; synthetic data; wind vector directions;
Conference_Titel :
Artificial Neural Networks, 1995., Fourth International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-85296-641-5
DOI :
10.1049/cp:19950550
