使闭塞 发表于 2025-3-30 09:24:56

https://doi.org/10.1007/978-1-4615-4371-8eural Gas require the use of distance metrics to measure the similarities between feature vectors as well as class prototypes. While the Euclidean distance is used in many cases, the highly correlated features within the hyperspectral representation and the high dimensionality itself favor the use o

阻塞 发表于 2025-3-30 15:34:30

Advances in Self-Organizing Maps and Learning Vector Quantization978-3-319-07695-9Series ISSN 2194-5357 Series E-ISSN 2194-5365

Spina-Bifida 发表于 2025-3-30 20:26:24

https://doi.org/10.1007/978-3-642-18012-5ectorial class labelings for the training data and the prototypes. It employs t-norms, known from fuzzy learning and fuzzy set theory, in the class label assignments, leading to a more flexible model with respect to domain requirements. We present experiments to demonstrate the extended algorithm in practice.

漂亮 发表于 2025-3-30 21:08:23

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啪心儿跳动 发表于 2025-3-31 01:59:14

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吸引人的花招 发表于 2025-3-31 05:15:36

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新字 发表于 2025-3-31 10:02:07

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GLOOM 发表于 2025-3-31 14:11:57

Probabilistic Prototype Classification Using t-normsectorial class labelings for the training data and the prototypes. It employs t-norms, known from fuzzy learning and fuzzy set theory, in the class label assignments, leading to a more flexible model with respect to domain requirements. We present experiments to demonstrate the extended algorithm in practice.

吸气 发表于 2025-3-31 18:41:18

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查看完整版本: Titlebook: Advances in Self-Organizing Maps and Learning Vector Quantization; Proceedings of the 1 Thomas Villmann,Frank-Michael Schleif,Mandy Lange C