MultipleScatteringLearnMoments

A Julia library for learning the radius and concentration of a material by using the moments of simulated backscattered waves. The backscattered waves are generated by the MultipleScattering julia package

Dependencies

You will need to add the following packages

julia
Pkg.add("StatsBase")
Pkg.add("JLD")
Pkg.add("GLMNet")
Pkg.add("Plots")
Pkg.add("LaTeXStrings")

and also clone the MultipleScattering package

Pkg.clone("https://github.com/jondea/MultipleScattering.jl.git")

Get started

This package is tested and works for Julia 0.6 and 0.5.

To get started, download and include the library

Pkg.clone("https://github.com/gowerrobert/MultipleScatteringLearnMoments.jl")
using MultipleScattering
using MultipleScatteringLearnMoments

Simple example

Navigate to the root directory. It will look like

~/.julia/v0.5/MultipleScatteringLearnMoments

if you have julia version v0.5. From this folder, launch jupyter in a terminal by typing

jupyter notebook

From within jupyter notebook, open the demo file

test/demo_L2.ipynb

More examples

To generate the regularization parameter lambda and the kernel parameters using crossvalidation, run

jupyter notebook
test/cross_valid.ipynb

Acknowledgements and contributing

For a reference and further reading see:

Learning about random media from near-surface backscattering:
using machine learning to measure particle size and concentration.
Artur L Gower,  Robert M Gower, Jonathan Deakin,  William J Parnell, and I. David Abrahams