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vrgm中文是什么意思

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用"vrgm"造句"vrgm"怎么读"vrgm" in a sentence

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  • 门极反向峰值电压

例句与用法

  • Views display the simulation results and translate users " operation and data entering to document . the architecture separates the domain models , data management and user interface
    Vrgm又将visualc + +的文档?视结构扩展为模型?文档?视结构,为系统中类的组织提供了框架结构。
  • 1 . visual rice growth models ( vrgm ) system represented an effort to design crop modeling software with object - oriented paradigm and to organize classes in system with model - document - view architecture
    主要研究结果如下: 1 、可视水稻生长模型作为一个实例为作物生长模型软件的设计,提供了一个系统分解和系统组织的框架。
  • Based on visual rice growth models ( vrgm ) and the techniques of " vigorous root - strong culm - heavy panicle " , " once - for - all basal application " etc , rice expert system of cultivation management for high yield has functions of inquiry , optimum decision on agronomy measures , cultivation management decision , diagnosis and control of physiological problems , disease and insect pests
    该系统以可视水稻生长模型系统为基础,以水稻“旺壮重”栽培技术、一次性全层施肥技术、水稻全程化控工程等研究成果为知识中心,试图覆盖水稻全部栽培过程和方式,为水稻栽培管理决策提供优化方案。
  • Firstly , the crop - environment system was abstracted as many subsystems and physiological processes with object - oriented paradigm while many classes were established to simulate the behaviors of these subsystems and physiological processes . in vrgm , the document - view architecture in visual c + + was extended as model - document - view architecture for agricultural integrated system . in the model - document - view architecture , document gets the final simulation results by manipulating the models classes and acts as a communicating intermediacy between model and view
    首先利用面向对象的编程设计方法,将作物一环境系统抽象为多个子系统和多个生理过程,分别设计多个类模拟这些子系统和生理过程的功能,由于面向对象方法的封装性、继承性和多态性,类与类之间既相互独立,又通过类间接口彼此相互关联,使系统易于维护、扩充和重新开发利用。
  • Visual rice growth models ( vrgm ) and rice expert system of cultivation management for high yield were established by synthesizing the results of " national rice project " and combining the cultivation knowledge , experience of experts , while the techniques of artificial neural network and fuzzy logic were employed to improve the rice growth models and the expert system . the main results are as follows
    本研究系国家“九五”攻关项目“水稻大面积高产综合配套技术研究与示范”课题的子专题,结合水稻高产栽培技术资料和水稻专家的知识、经验以及科研成果,研制成了可视水稻生长模型( visualricegrowthmodels , vrgm )及水稻高产栽培专家系统,并在此基础上进一步利用人工神经网络模型、模糊逻辑技术和田间栽培试验,对生长模型和专家系统进行了改进。
  • Based on visual rice growth models ( vrgm ) and with rice tillering as examples , the back - propagation artificial neural networks ( bp ) and radial basis function networks ( rbf ) were established to simulate the rice growth and to compare with statistical model and dynamic model
    3 、在研制可视水稻生长模型的基础上,进一步利用人工神经网络bp模型和rbf模型,对水稻生长进行了模拟与仿真。并以水稻群体茎蘖动态为例,与水稻群体分蘖的统计模型和动力学模型进行了比较。
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