rule-based 中文意思是什麼
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We bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system
根據電能質紂監測系統的燈點，提出了靈話的規則基專家系統的方案，並且對其進行了深入的研究。 -
The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance
採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。 -
Research and development of illuming - rule - based reasoning multimedia platform for agricultural intelligent system development
農業專家系統開發平臺的研究與開發 -
Event condition action rule based intelligent agent architecture
基於事件條件動作規則的智能主體結構 -
Rule - based reconstruction of curvilinear objects from orthographic views
基於規則的曲面體三維重建 -
Rule - based outlier mining approach in categorical data
基於規則的分類數據離群挖掘方法研究 -
Statistic and rule based prosody model of chinese speech synthesis
基於統計和規則相結合的漢語語音合成的韻律模型 -
A prop - fair rule based on shadow price is proposed for ixev - do. it can do better in suppressing drastical variation of channel quality
並在此基礎上對流量價格引入延遲分量，進一步改善了系統的延遲特性。 -
Research on a rule - based code component extracting technology
基於規則的代碼構件提取技術研究 -
Experiment 1 explored whether the subjects only used the rule - based categorization strategy after changing the category structure in erickson and kruchke ' s experiment so that the rule ' s boundary was more conspicious
本研究也試圖從整合的眼光來探討人們在類別學習中對規則策略和樣例策略的運用規律。 -
Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved
與一般基於規則的專家系統相比，貝葉斯網專家系統利用先驗概率分佈，可以使推理在輸入數據不完備的基礎上進行；以網路的拓撲結構表達定性知識，以網路節點的概率分佈表達知識的不確定性，從而使不確定性知識的表達直觀、明確；利用貝葉斯法則的基本原理，可以實現由因到果及由果到因的雙向推理。 -
An algorithm of quantitative association rule based on cloud models
基於雲模型的關聯規則的提取演算法 -
On the other hand, we shall continue to operate the system transparently and consistently, in accordance with the rule - based arrangements, to enhance credibility in the system and confidence in the currency
另一方面，我們也會秉承製度的規范原則，並以高度透明的方式貫徹推行，以提高這個制度的公信力和社會大眾對港元的信心。 -
The first example shows that the proposed model uses fewer fuzzy predicates achieving similar results with the traditional rule - based approach, while the second shows the performance can be significantly improved when the control - relevant constraints are considered
本論文所提出的限制式模糊模塑架構與takagi - sugeno模糊模塑的差異，在於利用模糊限制式來取代一般的數學方程式。 -
Moreover, this article also made a preliminary discussion on the combination of neural network theory and the differential game guidance law. the bp model and rbf model and their corresponding learning algorithm were employed to design the neural network guiding rule based on the differential game guidance law
另外，本文還將神經網路理論與微分對策制導律相結合作了初步的探討，並結合具體的bp網路和rbf網路及其相應的學習演算法設計出了基於神經網路技術的微分對策制導律。 -
By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。 -
With fuzzy control being rule - based control approach, not need mathematical model of objectives, it has a better control result than conventional approach in some complex nonlinear system
摘要由於模糊控制技術是一種基於規則的控制，不需要被控對象的精確數學模型，在一些復雜的非線性控制系統中模糊控制比經典控制方法有更好的控制效果。 -
We are committed to an open, equitable, rule - based, predictable and non - discriminatory multilateral trading and financial system
我們承諾建立一個開放的、公平的、有章可循的、可預測的和非歧視性的多邊貿易和金融體制。 -
This research focused on applying the system analysis principle and mathematical modeling technique to study knowledge expression system for crop cultivation management. based on extensively collecting, understanding, analysis, and integration of expert ' s knowledge and experience, literature and experiment data for cotton cultivation management, the dynamic relationships of cotton growth and management indices to variety types, ecological environments and production levels were quantified, and a dynamic knowledge model for cotton management ( cottonknow ) was developed. by further incorporating the rule - based knowledge system for cotton management, a comprehensive and intelligent knowledge model - based decision support system for cotton management ( kmdsscm ) was established with component design
本研究著重利用系統分析原理和數學建模技術來研究作物栽培管理的知識表達體系，在廣泛收集及充分理解和分析棉花栽培管理專家知識、經驗和資料的基礎上，利用棉花栽培理論與技術方面的現有研究成果，並結合必要的試驗支持，解析、提煉和綜合棉花生育及管理指標與品種類型、生態環境及生產水平之間的定量化關系，首次構建了棉花栽培管理動態知識模型，並進一步結合基於知識規則的棉花栽培管理知識庫表達系統，設計和實現了綜合性、智能化和構件化的基於知識模型的棉花管理決策支持系統（ kmdsscm ） 。 -
Design and application of a fuzzy classified rule based on learning from fuzzy examples
基於模糊示例學習的蠓蟲分類規則的設計
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