Abstract
We developed an artificial neural networks trained by frequency domain-based Monte Carlo simulation, which could work with a least-square optimized algorithm to recover an extensive range (below and beyond 600–1000 nm) of sample’s optical properties.
© 2016 Optical Society of America
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