Particle & Particle Systems Characterization, Vol.17, No.3, 117-125, 2000
Shape and size determination by laser diffraction: Feasibility of data analysis by neural networks
The feasibility of the inversion of laser diffraction data for size and shape distribution by neural networks has been investigated by computer simulation. Neural networks trained with diffraction patterns of elliptical particles with different sizes and aspect ratios (axis ratios) were able to recover simultaneously both the size and aspect ratio distributions in a few milliseconds on a common PC.