Neural Net for Trajectories Recognition in a Flow,
Abstract
In order to recognize the trajectories from a sequence of single exposure images a new method, based on the simulation of a neural network, is proposed. The net is identifies by the topology, the nodes characteristics and training rule which allows a change in the weight of each connection. The method is utilized to analyse the trajectories described by tracer particles flowing inside a porous medium simulated by means of fractured Pyrex glass bars. The optical access is realized using a liquids mixture with the same refractive index of the solid matrix (matching index technique). (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 23, 1992
- Accession Number
- ADP009013
Entities
People
- A. Cenedese
- A. Paglialunga
- G. P. Romano
- M. Terlizzi