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首页> 外文期刊>Applied optics >COHERENT OPTICAL NEURAL NETWORKS THAT HAVE OPTICAL-FREQUENCY-CONTROLLED BEHAVIOR AND GENERALIZATION ABILITY IN THE FREQUENCY DOMAIN
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COHERENT OPTICAL NEURAL NETWORKS THAT HAVE OPTICAL-FREQUENCY-CONTROLLED BEHAVIOR AND GENERALIZATION ABILITY IN THE FREQUENCY DOMAIN

机译：在频域中具有光频行为和广义化能力的相干光学神经网络

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摘要

Coherent optical neural networks that have optical-frequency-controlled behavior are proposed as sophisticated optical neural systems. The coherent optical neural-network system consists of an optical complex-valued neural network, a phase reference path, and coherent detectors for self-homodyne detection. The learning process is realized by adjusting the delay time and the transparency of neural connections in the optical neural network with the optical frequency as a learning parameter. Generalization ability in frequency space is also analyzed. Information geometry in the learning process is discussed for obtaining a parameter range in which a reasonable generalization is realized in frequency space. It is found that there are error-function minima periodically both in the delay-time domain and the input-signal-frequency domain. Because of this reason, the initial connection delay should be within a certain range for a meaningful generalization. Simulation experiments demonstrate that a stable learning and a reasonable generalization in the frequency domain are successfully realized in a parameter range obtained in the theory. (C) 1996 Optical Society of America [References: 15]
机译：具有光频率控制行为的相干光神经网络被提议为复杂的光神经系统。相干光神经网络系统包括一个光复数值神经网络，一个相位参考路径和用于自同调子检测的相干检测器。通过以光频率为学习参数调整光学神经网络中神经连接的延迟时间和透明度来实现学习过程。还分析了频率空间的泛化能力。讨论了学习过程中的信息几何结构，以获得在频率空间中实现合理概括的参数范围。发现在延迟时域和输入信号频率域中周期性地存在误差函数最小值。因此，初始连接延迟应在一定范围内，以进行有意义的概括。仿真实验表明，在理论上获得的参数范围内，可以成功实现频域的稳定学习和合理的推广。 （C）1996年美国眼镜学会[参考：15]

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