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Syntactic Pattern Recognition By Quadratic Neural Nets. A Case Study: Rail Flaw Classification

机译：二次神经网络的句法模式识别。案例研究：铁轨缺陷分类

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We show how Quadratic Neural Nets can be used to accomplish Syntactic Pattern Recognition. The method has been applied successfully to an industrial problem of classifying rail flaws by examining ultrasonic images.

机译：我们展示了如何使用二次神经网络来完成句法模式识别。通过检查超声图像，该方法已成功应用于分类铁路缺陷的工业问题。

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《》|2001年|P.2101-2104|共4页
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McKenzie; P.; Alder; M.;
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中图分类无线电电子学、电信技术;
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入库时间 2022-08-26 14:39:34

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4. Syntactic Pattern Recognition By Quadratic Neural Nets. A Case Study: Rail Flaw Classification. [C] . McKenzie P., Alder M., Institute of Electric and Electronic Engineer International Joint Conference on Neural Networks . 2001

机译：二次神经网络的句法模式识别。案例研究：铁路缺陷分类。
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8. Classification of SAR Ship Images with the Aid of a Syntactic Pattern Recognition Algorithm. [R] . Klepko, R. 1991

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Syntactic Pattern Recognition By Quadratic Neural Nets. A Case Study: Rail Flaw Classification

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