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Titlebook: Engineering Applications of Bio-Inspired Artificial Neural Networks; International Work-C José Mira,Juan V. Sánchez-Andrés Conference proce

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樓主: False-Negative
51#
發(fā)表于 2025-3-30 09:55:22 | 只看該作者
52#
發(fā)表于 2025-3-30 14:13:08 | 只看該作者
An agent-based operational model for hybrid connectionist-symbolic learning,, a unified framework to analyse and compare learning methods has not appeared yet. In this paper, a multiagent-based approach is presented as an adequate model for hybrid learning. This approach is built upon the concept of bias.
53#
發(fā)表于 2025-3-30 19:19:48 | 只看該作者
54#
發(fā)表于 2025-3-31 00:01:12 | 只看該作者
55#
發(fā)表于 2025-3-31 03:14:16 | 只看該作者
56#
發(fā)表于 2025-3-31 07:49:49 | 只看該作者
Extracting rules from artificial neural networks with kernel-based representations,he kernel-based Neural Networks is captured by the membership functions associated to the components of the rules extracted. In this work we propose a method to extract fuzzy rules from trained Neural Networks of the family mentioned; comparing the quality of the knowledge extracted by different met
57#
發(fā)表于 2025-3-31 12:01:30 | 只看該作者
58#
發(fā)表于 2025-3-31 15:53:13 | 只看該作者
Can general purpose micro-processors simulate neural networks in real-time?,
59#
發(fā)表于 2025-3-31 21:20:32 | 只看該作者
60#
發(fā)表于 2025-3-31 23:16:05 | 只看該作者
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