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Computation in Recurrent Neural Networks: From Counters to Iterated Function Systems

机译：递归神经网络中的计算：从计数器到迭代函数系统

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Yvonne Kalinke; Helko Lehmann;
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年度 1998
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1. Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network [J] . Ying-Chung Wang, Chiang-Ju Chien, Ching-Cheng Teng IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics . 2004,第3期

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2. Equilibria and Their Bifurcations in a Recurrent Neural Network Involving Iterates of a Transcendental Function [J] . Gao B., Zhang W. IEEE Transactions on Neural Networks . 2008,第5期

机译：涉及先验函数迭代的递归神经网络中的平衡及其分支
3. Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction [J] . Bensidhoum Tarek, Bouakrif Farah, Zasadzinski Michel Transactions of the Institute of Measurement and Control . 2019,第12期

机译：迭代学习径向基函数神经网络控制未知多输入多输出非线性系统未知控制方向
4. Computation in Recurrent Neural Networks: From Counters to Iterated Function Systems [C] . Yvonne Kalinke, Helko Lehmann Advanced topics in artificial intelligence . 1998

机译：递归神经网络中的计算：从计数器到迭代函数系统
5. Engineering Recurrent Neural Networks for Low-Rank and Noise-Robust Computation [D] . Stock, Christopher Hopkins. 2021

机译：用于低级和噪声稳健计算的工程经常性神经网络
6. Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks [O] . Waleed Nazih, Yasser Hifny, Wail S. Elkilani, 2020

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7. Understanding state space organization in recurrent neural networks with iterative function systems dynamics [O] . Georg Dorffner, Christian Schittenkopf 2000

机译：通过迭代函数系统动力学了解递归神经网络中的状态空间组织

Computation in Recurrent Neural Networks: From Counters to Iterated Function Systems

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