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Discovering Efficient Learning Rules for Feedforward Neural Networks using Genetic Programming

机译：使用遗传规划发现前馈神经网络的有效学习规则

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Amr Radi; Riccardo Poli;
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年度 2002
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1. Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks [J] . Zhong S., Zeng X., Wu S., Neural Networks and Learning Systems, IEEE Transactions on . 2012,第3期

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2. Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks [J] . Puyin Liu, Hongxing Li IEEE Transactions on Neural Networks . 2004,第3期

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3. An efficient rule-based screening approach for discovering fast lithium ion conductors using density functional theory and artificial neural networks [J] . Randy Jalem, Masanobu Nakayama, Toshihiro Kasuga Journal of Materials Chemistry, A. Materials for energy and sustainability . 2014,第3期

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4. Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks [C] . Amr Radi, Riccardo Poli European workshop on genetic programming . 1999

机译：遗传编程为馈电神经网络的隐藏和输出层发现了高效的学习规则
5. Learning the neuron functions within neural networks based on genetic programming. [D] . Barton, Alan J. 2009

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6. Novel local learning rule for neural adaptation fits Hopfield memory networks efficiently and optimally [O] . Chris Hillar, Jascha Sohl-Dickstein, Kilian Koepsell 2013

机译：用于神经适应的新型局部学习规则可有效且最佳地拟合Hopfield记忆网络
7. Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks [O] . Amr Radi, Riccardo Poli 1998

机译：遗传规划发现前馈神经网络隐藏和输出层的有效学习规则
8. Genetically Optimised Feedforward Neural Networks for Speaker Identification [R] . Price, R. , Willmore, J. , Roberts, W. 1999

机译：用于说话人识别的遗传优化前馈神经网络

Discovering Efficient Learning Rules for Feedforward Neural Networks using Genetic Programming

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