Results 291 to 300 of about 8,374,235 (328)
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2002
In Chapters 4 and 5 the connectionist, multi-layer architectures of fuzzy systems, called fuzzy inference neural networks, were presented. These architectures are similar to neural networks (see Section 3.1), so learning algorithms can be proposed to tune the parameters of the networks, analo gously to tuning weights in neural networks.
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In Chapters 4 and 5 the connectionist, multi-layer architectures of fuzzy systems, called fuzzy inference neural networks, were presented. These architectures are similar to neural networks (see Section 3.1), so learning algorithms can be proposed to tune the parameters of the networks, analo gously to tuning weights in neural networks.
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A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
The International Journal of Advanced Manufacturing Technology, 2022Mohammad Shahin +4 more
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2011 5th IEEE International Conference on E-Learning in Industrial Electronics (ICELIE), 2011
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Exploring Pose-Aware Human-Object Interaction via Hybrid Learning
Computer Vision and Pattern RecognitionEastman Z. Y. Wu +3 more
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A systematic literature review on synchronous hybrid learning: gaps identified
Learning Environments Research, 2019A. Raes +3 more
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Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Nature Reviews Materials, 2023Kedar Hippalgaonkar +2 more
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