A fast sensing, low cost and reliable sensor based on self model-establishing for measuring water content in soil is studied.
基于自建模技术研究了一种快速传感、低成本、高可靠性的土壤含水量传感器。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
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