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We demonstrate for the first time to our knowledge successful prediction of the largest Lyapunov exponent (LLE) for chaotic semiconductor lasers using a convolutional neural network. Chaotic emission intensity waveforms are first generated using an optically injected laser. For training the machine learning model, LLEs of different chaotic intensity waveforms are first calculated based on a traditional phase-space reconstruction method.
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