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Evolving Echo State Networks for Minimally Cognitive Unsupervised Learning Tasks

机译：不断发展的回声状态网络，用于最低限度的认知无监督学习任务

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作者
Stuan Dag;
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年度 2013
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原文格式 PDF
正文语种 eng
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1. Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations [J] . Sun Yanan, Yen Gary G., Yi Zhang IEEE transactions on evolutionary computation . 2019,第1期

机译：不断发展的无监督深度神经网络，用于学习有意义的表示
2. Incorporating unsupervised learning into intrusion detection for wireless sensor networks with structural co-evolvability [J] . Qu Hongchun, Qiu Zeliang, Tang Xiaoming, Applied Soft Computing . 2018,第期

机译：将无监督的学习融入无线传感器网络的入侵检测，具有结构共进化的无线传感器网络
3. Evolving fuzzy neural networks for supervised/unsupervised onlineknowledge-based learning [J] . Kasabov N. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics . 2001,第6期

机译：演化模糊神经网络用于有监督/无监督在线知识的学习
4. Language Acquisition with Echo State Networks: Towards Unsupervised Learning [C] . Thanh Trung Dinh, Xavier Hinaut International Conference on Development and Learning;International Conference on Epigenetic Robotics . 2020

机译：与Echo State Networks语言习得：走向无监督的学习
5. The Effects of a Multi-View Camera System on Spatial Cognition, Cognitive Workload and Performance in a Minimally Invasive Surgery Task [D] . Schroll, Katelyn 2019

机译：多视图相机系统对微创手术任务中空间认知，认知工作量和性能的影响
6. Evolving autonomous learning in cognitive networks [O] . Leigh Sheneman, Arend Hintze -1

机译：认知网络中不断发展的自主学习
7. Unsupervised Learning of Echo State Networks: A case study in Artificial Embryogeny. [O] . Devert Alexandre, Bredeche Nicolas, Schoenauer Marc 2007

机译：回声状态网络的无监督学习：人工胚胎发生的案例研究。

Evolving Echo State Networks for Minimally Cognitive Unsupervised Learning Tasks

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