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Focusing on the intersection of nonlinear optics and neural computing, this book explores how optical methods can enhance neural network models, leveraging parallelism and speed. It discusses various applications like associative memories and self-organized nets, emphasizing their implementation through nonlinear optical processing. Aimed at a diverse audience, the text provides foundational concepts and practical insights into optical neural networks, guiding readers from basic principles to advanced experimental systems, fostering collaboration and innovation in these rapidly evolving fields.
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Optical Neural Networks, Cornelia Denz
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- 2013
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