Abstract
This chapter presents a lightwave neural network that learns behavior depending on optical frequency. In general, a neural network learns or self-organizes adaptively to environment. Because of this adaptability, we sometimes have difficulty in controlling the neural network at will. The lightwave network to be presented here learns a certain processing at a certain optical-carrier frequency, and another processing at another frequency, to possess both the adaptability and the controllability. From a different viewpoint, we can consider this compatibility as a mean of multiplexing of behavior in the optical frequency domain. The frequency-domain multiplexing provides the neural network, which is characterized by distributedness and parallelism, with a new dimension of massive parallelism utilizing the vast optical frequency bandwidth. In this sense, the network presents a novel direction in optical information processing hardware.
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© 2012 Springer-Verlag Berlin Heidelberg
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Hirose, A. (2012). Lightwave Associative Memory That Memorizes and Recalls Information Depending on Optical-Carrier Frequency. In: Complex-Valued Neural Networks. Studies in Computational Intelligence, vol 400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27632-3_8
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DOI: https://doi.org/10.1007/978-3-642-27632-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27631-6
Online ISBN: 978-3-642-27632-3
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