A comparison of backpropagation and generalized-regression genetic-neural network models.

Mager PP; Reinhardt R

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A comparison of backpropagation and generalized-regression genetic-neural network models.

机译：反向传播和广义回归遗传神经网络模型的比较。

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The results of the backpropagation (BP) and generalized-regression genetic-neural (GRGN) network were compared using a series of nonpeptide arginine vasopressin VI antagonists. It was shown that both approaches are equivalent with respect to the recognition process while the BP network is superior over GRGN if the sample sizes are lowered by cross-validation.

机译：使用一系列非肽精氨酸加压素VI拮抗剂比较了反向传播（BP）和广义回归遗传神经（GRGN）网络的结果。结果表明，两种方法在识别过程上都是等效的，而如果通过交叉验证降低样本量，则BP网络将优于GRGN。

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《Drug design and discovery》 |1999年第1期|共5页
作者
Mager PP; Reinhardt R;
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正文语种 eng
中图分类药学;
关键词
Neural Networks Computer; Vasopressins; 血管升压素类;

机译：Neural Networks Computer;Vasopressins;血管升压素类;

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专利

1. A comparison of backpropagation and generalized-regression genetic-neural network models. [J] . Mager PP, Reinhardt R Drug design and discovery . 1999,第1期

机译：反向传播和广义回归遗传神经网络模型的比较。
2. Hybrid 3-D QSAR approach using a generalized-regression genetic-neural network [J] . Peter P. Mager Molecular simulation . 2002,第4期

机译：使用广义回归遗传神经网络的混合3-D QSAR方法
3. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling [J] . Biswajeet Pradhan, Saro Lee Environmental Modelling & Software . 2010,第6期

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4. Performance comparisons between RBF networks and multilayer backpropagation network [C] . R. Li, G. Lebby, E. Sherrod, ISCA International Conference on Computer Applications in Industry and Engineering . 1999

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5. Scheduling unicast and multicast traffic in WDM local optical networks and backpropagation training for an optical neural network. [D] . Yang, Mingtao. 2001

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6. Comparison of Diagnosis Accuracy between a Backpropagation Artificial Neural Network Model and Linear Regression in Digestive Disease Patients: an Empirical Research [O] . Wei Wei, Xu Yang 2021

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7. Training of Artificial Neural Networks as Pattern Recognisers - A comparison of Genetic Algorithms and Backpropagation [O] . Jensen Henrik M., Sørensen Martin R., Holst Anne-Marie, 2005

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A comparison of backpropagation and generalized-regression genetic-neural network models.

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