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1 NSF CAREER: Scalable Learning and Adaptation with Intelligent Techniques and Neural Networks for Reconfiguration and Survivability of Complex Systems

机译：1 NsF职业：通过智能技术和神经网络实现可扩展的学习和适应，以实现复杂系统的重新配置和生存能力

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Ganesh K. Venayagamoorthy; Senior Member;
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年度 2013
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3. Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks [J] . Chin C. S., Si JianTing, Clare A. S., Complexity . 2017,第1期

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4. NSF CAREER: Scalable Learning and Adaptation with Intelligent Techniques and Neural Networks for Reconfiguration and Survivability of Complex Systems [C] . Ganesh K. Venayagamoorthy IEEE Power and Energy Society General Meeting . 2008

机译：NSF职业：可扩展的学习和适应智能技术和神经网络，用于复杂系统的重新配置和生存性
5. Learning in dynamic hierarchical network structures in complex systems: A study on the effect of learning in improving resilience in large scale social networks. [D] . Kobti, Ziad. 2004

机译：复杂系统中动态分层网络结构中的学习：学习在提高大型社交网络的弹性中的作用。
6. Extensive deep neural networks for transferring small scale learning to large scale systems [O] . Kyle Mills, Kevin Ryczko, Iryna Luchak, 2011

机译：广泛的深度神经网络，可将小规模学习转移到大规模系统
7. Hybrid Intelligent Perception System: Intelligent perception through combining Artificial Neural Networks and an Expert System. [R] . Glover, C. W., Spelt, P. F. 1990

机译：混合智能感知系统：人工神经网络与专家系统相结合的智能感知系统。

1 NSF CAREER: Scalable Learning and Adaptation with Intelligent Techniques and Neural Networks for Reconfiguration and Survivability of Complex Systems

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