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A neural network is configured and trained to measure the polymer crytallinity in real time and non-intrusive manner. After the training, input to the neural network becomes the laser Raman spectrum at selected ferquencies and the output from the network is the current crystallinity of polymer. In order to train the neural network, a training data set is constructed where the crystallinities corresponding...
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