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用于非线性回归的核随机配置网络

💡 原文中文，约200字，阅读约需1分钟。

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内容提要

本研究提出核随机配置网络（KSCNs），有效解决现有随机配置网络在模型学习和性能稳定性方面的不足，显著提升非线性回归问题的学习性能和鲁棒性。

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