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Improve Influencer-follower Neural Network Chaoticity Through Polarization Control and Filtering
Mustafa M. Jaber and Ayser A. Hemed
An optical neural network was experimentally simulated in the laboratory using a feed-forward configuration. The FF setup is tested through optical injection, and the behavior of follower laser diodes (FLDs) under chaotic modulation is analyzed. The final two laser diodes (LDs) are subjected to varying weights of chaotic modulated signals via optical filtration and the angle of the influencing laser. A maximum FWHM of 1.8 GHz for FLD was observed at an angle (C) of 70 degrees, with a modulated signal attenuation of -12 dB. The correlation between the ILDs and FLDs was calculated to determine the synchronization state. Results demonstrate variations between negative and positive values, with the highest correlation value recorded at -0.32. The results validate the efficacy of anti-synchronized ILD-FLDs, which is crucial for maintaining privacy in transmitting units within a chaotic optical communication system functioning as an optical neural network.
Keywords: Chaos, Neural networks, optical communication, Feed-forward