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Zeta function of learning theory and generalization error of three layered neural perceptron(Recent Topics on Real and Complex Singularities)

机译：学习理论的Zeta函数和三层神经感知器的泛化误差（关于实和复奇异性的最新主题）

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作者
Aoyagi Miki;
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年度 2006
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正文语种 en
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1. THE LOCALIZED GENERALIZATION ERROR MODEL FOR SINGLE LAYER PERCEPTRON NEURAL NETWORK AND SIGMOID SUPPORT VECTOR MACHINE [J] . WING W. Y. NG, DANIEL S. YEUNG, ERIC C. C. TSANG International Journal of Pattern Recognition and Artificial Intelligence . 2008,第1期

机译：单层感知器神经网络和SIGMOID支持向量机的局部广义误差模型
2. A novel training scheme for multilayered perceptrons to realize proper generalization and incremental learning [J] . Chakraborty D., Pal N.R. IEEE Transactions on Neural Networks . 2003,第1期

机译：一种新颖的多层感知器训练方案，以实现适当的泛化和增量学习
3. Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction [J] . Virginia C. Ebhota, Joseph Isabona, Viranjay M. Srivastava International Journal on Communications Antenna and Propagation . 2019,第1期

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4. Application of the Error Function in Analyzing the Learning Dynamics Near Singularities of the Multilayer Perceptrons [C] . GUO Weili, WEI Haikun, ZHAO Junsheng, 2012 31st Chinese Control Conference. . -1

机译：误差函数在多层感知器近奇点学习动力学分析中的应用
5. Iterative feature weighting for identification of relevant features in machine learning: With multilayer perceptron, radial basis function and support vector architectures. [D] . Duan, Baofu. 2005

机译：用于识别机器学习中相关特征的迭代特征加权：具有多层感知器，径向基函数和支持向量体系结构。
6. Diagnosis of Malignancy in Thyroid Tumors by Multi-Layer Perceptron Neural Networks With Different Batch Learning Algorithms [O] . Saeedeh Pourahmad, Mohsen Azad, Shahram Paydar 2015

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7. Singularities in Learning Theory(Recent Topics on Real and Complex Singularities) [O] . Watanabe Sumio 2006

机译：学习理论中的奇点（关于真实和复杂奇点的最新话题）

Zeta function of learning theory and generalization error of three layered neural perceptron(Recent Topics on Real and Complex Singularities)

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