不可知论
发表于 2025-3-26 22:18:30
https://doi.org/10.1007/978-1-349-23615-2onstructions and dynamics in networks. You do not need any detailed background in advance since we begin with conventional (real-valued) neural networks and, afterward, we extend them into complex-valued neural networks (CVNNs).
PANT
发表于 2025-3-27 02:33:10
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Constrain
发表于 2025-3-27 08:00:47
Adaptive Radar System to Visualize Antipersonnel Plastic Landminestruct a phase-sensitive millimeter-wave / microwave front-end to observe ground reflection in spatial and frequency domains, and feed the data to a complex-valued self-organizing map (CSOM). The CSOM visualizes plastic landmines by segmenting the reflection image adaptively.
exostosis
发表于 2025-3-27 13:00:28
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漂亮
发表于 2025-3-27 14:52:24
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仔细阅读
发表于 2025-3-27 19:59:21
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现任者
发表于 2025-3-28 00:41:15
Removal of Phase Singular Points to Create Digital Elevation Mapthe existence of phase singular points. In this chapter, first we explain the singular points, which is a serious noise induced in the interferometric observation. Then we present a method to remove the singular points effectively by using a complex-valued neural network, and generate a high-quality DEM with a smaller calculation cost.
cajole
发表于 2025-3-28 03:40:09
Lightwave Associative Memory That Memorizes and Recalls Information Depending on Optical-Carrier Frein 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.
倔强不能
发表于 2025-3-28 07:45:30
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ascetic
发表于 2025-3-28 10:33:42
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