本文采用P 89 V 51rd2单片机作为系统的微处理器，负责进行智能控制算法运算，数据采集，变频器控制信号输出，开关量输入输出等。

In the thesis, I choose P89V51RD2 microprocessor to be in charge of the intelligent control algorithms, data acquisition, inverter control signal output, switching input and output.

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针对数字信号调制模式识别问题，提出了运用高阶累积量和二叉树支持向量机(SVM)进行自动识别的算法。

Applying high order cumulants and support vector machines (SVM), an algorithm is proposed for automatic recognition of digital communication signals.

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[摘要]尝试将支持向机算法应用于房地产需求量预测。

Abstract: the paper tried to apply the Support Vector Machine (SVM) to the forecast of the demands of real estate.

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[摘要]尝试将支持向机算法应用于房地产需求量预测。

Abstract: the paper tried to apply the Support Vector Machine (SVM) to the forecast of the demands of real estate.

youdao