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发表于 2025-3-28 18:04:34 | 显示全部楼层
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发表于 2025-3-29 02:15:06 | 显示全部楼层
https://doi.org/10.1007/978-3-030-28768-9aximize local .. The uniform treatment of data points and data intervals (hyperboxes) allows for a recursive application of the algorithm. We assess the quality of information granules through the application of FCM clustering (Fuzzy C-Means) algorithm. The algorithm is applied to two-dimensional synthetic data and experimental traffic data.
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Counting Biological Individualse models are particularly appealing because of their memory-based processing (so we are really concerned with dynamic systems). The underlying design process immensely benefits from available learning schemes.
发表于 2025-3-29 12:34:31 | 显示全部楼层
Sets and Intervalsere a commonsense approach to set theory, as opposed to axiomatized approach, and focus on constructive development of granules in multidimensional spaces from the basic constructs of one-dimensional, connected sets, i.e. intervals.
发表于 2025-3-29 17:29:03 | 显示全部楼层
Recursive Information Granulationaximize local .. The uniform treatment of data points and data intervals (hyperboxes) allows for a recursive application of the algorithm. We assess the quality of information granules through the application of FCM clustering (Fuzzy C-Means) algorithm. The algorithm is applied to two-dimensional synthetic data and experimental traffic data.
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Intelligent Agents and Granular Worldse models are particularly appealing because of their memory-based processing (so we are really concerned with dynamic systems). The underlying design process immensely benefits from available learning schemes.
发表于 2025-3-30 04:24:55 | 显示全部楼层
Granular Computing as an Emerging Paradigm of Information Processingon granules and their processing. Along this line comes a discussion on the conceptual and algorithmic aspects of information granules such as their granularity, usefulness, communication and interoperability between various platforms of granular computing.
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