vrgm 中文意思是什麼
vrgm
解釋
門極反向峰值電壓-
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
該系統以可視水稻生長模型系統為基礎，以水稻「旺壯重」栽培技術、一次性全層施肥技術、水稻全程化控工程等研究成果為知識中心，試圖覆蓋水稻全部栽培過程和方式，為水稻栽培管理決策提供優化方案。 -
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
首先利用面向對象的編程設計方法，將作物一環境系統抽象為多個子系統和多個生理過程，分別設計多個類模擬這些子系統和生理過程的功能，由於面向對象方法的封裝性、繼承性和多態性，類與類之間既相互獨立，又通過類間介面彼此相互關聯，使系統易於維護、擴充和重新開發利用。 -
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
本研究系國家「九五」攻關項目「水稻大面積高產綜合配套技術研究與示範」課題的子專題，結合水稻高產栽培技術資料和水稻專家的知識、經驗以及科研成果，研製成了可視水稻生長模型（ visualricegrowthmodels ， vrgm ）及水稻高產栽培專家系統，並在此基礎上進一步利用人工神經網路模型、模糊邏輯技術和田間栽培試驗，對生長模型和專家系統進行了改進。 -
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 、在研製可視水稻生長模型的基礎上，進一步利用人工神經網路bp模型和rbf模型，對水稻生長進行了模擬與模擬。並以水稻群體莖蘗動態為例，與水稻群體分蘗的統計模型和動力學模型進行了比較。 -
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
主要研究結果如下： 1 、可視水稻生長模型作為一個實例為作物生長模型軟體的設計，提供了一個系統分解和系統組織的框架。
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