Accession Number : ADA308259

Title :   An Analytical Model of Light Scattering from Marine Micro-Organisms and Detritus.

Descriptive Note : Annual rept. 1 Nov 94-1 Nov 95,

Corporate Author : TENNESSEE STATE UNIV NASHVILLE DEPT OF PHYSICS MATHEMATICS AND COMPUTER SCIEN CE

Personal Author(s) : Hull, Patricia G.

PDF Url : ADA308259

Report Date : 03 NOV 1995

Pagination or Media Count : 9

Abstract : The design and initial training of an artificial neural network that predicts the size parameter of a light scatterer given its S34 matrix element was completed. As an alternative to experimental data, the network was trained and tested for both spherical and irregularly-shaped particles using Mie calculations and calculations made with the coupled-dipole model. The important features of a network are illustrated with this simple version. A more extensive network that predicts optical properties and shape factors, as well as size parameter, has also been designed. It does not differ in basic features from the simpler one, although it requires more input data and many more neurons to produce the desired results. We have shown that Mie and coupled-dipole calculations can provide a workable data set for training a neural network. However, it is important to test the network with experimental data.

Descriptors :   *LIGHT SCATTERING, *NEURAL NETS, DATA BASES, MATHEMATICAL MODELS, OPTICAL PROPERTIES, POLARIZATION, MATRICES(MATHEMATICS), REFRACTIVE INDEX, INPUT OUTPUT PROCESSING, OPTICAL DATA, OPTICAL IMAGES, MIE SCATTERING, OPTICAL ANALYSIS, APPROXIMATION(MATHEMATICS), MARINE BIOLOGY, PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE, INVERSE SCATTERING, SEA WATER, MICROORGANISMS.

Subject Categories : Cybernetics
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE