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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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楼主: False-Negative
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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.
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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
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Can general purpose micro-processors simulate neural networks in real-time?,
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