uncertain inference 中文意思是什麼
uncertain inference
解釋
不確定的推論-
After discussing of the current bdar, the chosen radar ’ s damage mode and effects is analyzed in the paper according to its function structure and fighting mission. and then, an expert system is presented to assess effectively and intelligently based upon the bayesian networks. in detail, three knowledge representations, i. e. production rule, frame and bayesian networks are adopted to express different kinds of knowledge in the expert system, and forward deduction and bayesian networks ’ uncertain reason are combined to accomplish the expert system inference process
本文在總結戰場損傷評估與修復的理論體系和研究現狀的基礎上，選用某型號雷達作為研究對象，按照其功能結構及作戰任務的特點，分析了它的戰場損傷模式與影響，並就其損傷評估與修復的常用方法和決策思路，設計了一個基於貝葉斯網路的專家系統以提高戰損評估決策的自動化、智能化水平。 -
On uncertain inference based on the bayesian network
基於貝葉斯網路不確定推理的研究 -
Bayes network is a new inference and express method of uncertain knowledge
摘要貝葉斯網路是不確定性知識表達與推理的一種新方法。 -
Besides the three meteorite craters above, according to my observation, the documents and inference, the uncertain number meteorite craters will be discovered in succession in guangdong, hong kong, hainan, fujian, jiangxi, even in hunan, guangxi, yunnan, etc
除了以上三個隕石坑外，根據觀察和資料顯示以及邏輯推理，在廣東、香港、海南、福建、江西甚至湖南、廣西、雲南等地，還有數量不確定的隕石坑將要被陸續發現。 -
The confirmation theory which is one of the uncertain inferring model has been adopted to construct the inference engine, for the special knowledge in the field is uncertain and fuzzy. at the same time the knowledge on fuzzy set theory and fuzzy logic has been applied to calculate the final value about certainty factor value ( cfv ) of a rule through inputting several initial values
根據專門知識的不確定性和模糊性，運用非精確推理模型中的確定性理論，組織實現系統的推理機，在對規則可信度進行不確定性處理時，引入模糊集合論和模糊邏輯的有關知識，處理多個初始可信度的輸入，由此得出最終比較可靠的規則可信度。 -
Classification has always been a central issue on data mining, machine learning and pattern recognition, classifier, as an important model and method of machine learning and data mining, is very important to the development and application of machine learning and the data mining. the classifier ’ s effect closely correlates with the characteristic of data sets, at present, the construction of classifier is generally based on the character of different datasets, there is no such a classifier which is suitable for any data sets. under uncertain conditions, the bayes network is a powerful tools for the knowledge expression and inference, but for difficulties in constructing its network structure and very high time complexity, it has not been considered as a classifier algorithm until the emergence of na ? ve - bayes classifier
分類一直是數據挖掘、機器學習和模式識別等研究的核心問題，貝葉斯網路是作為知識表示和推理的強大工具，由於搜索空間巨大和學習困難的原因，直到樸素貝葉斯理論的出現才被作為分類器演算法，改進樸素貝葉斯分類器是貝葉斯分類器學習的一個主要的研究方向。遺傳演算法本質上是一種求解問題的高效并行全局搜索演算法，適合應用於那些改進的分類器的結構學習中。本文提出了一種基於遺傳演算法的ban分類器演算法。 -
The effectiveness of this expert system has been proven during tests, which supplies a gap between the predicate logic and uncertain inference
經過測試，證實了該系統的有效性，彌補了過去謂詞在不精確推理方面的缺陷。 -
Uncertain inference model of processing related evidence
規則策略和樣例策略在歸類過程中的運用 -
Study of diagnostic expert system based on uncertain inference model
在一定相容度下不確定性推理的可靠性分析 -
Be dead against to different field knowledge apply different inference strategy, apply different inference method to certain knowledge and uncertain knowledge, so make the design and evaluation inference more integrity
針對甘蔗收獲機械設計與評價專家系統領域知識的不同特點應用不同的推理策略，針對甘蔗收獲機械的確定性知識和不確定性知識應用不同的推理方法，使得對甘蔗收獲機械設計與評價推理更加完整。 -
Then basing the theory of certainty, a new uncertain reasoning model was introduced and this model was validated in the example of tomato. then, the step of realization of the neural - expert hybrid expert system ' s inference engine was introduced. a diagnose method of diseases and insect pests base on module of neural network was presented and realized in this paper
在確定性理論的基礎上，提出了一種新的不確定性推理模型，以番茄營養診斷為例對這種新的不確定性推理模型進行了驗證，同時給出了系統推理過程的實現程序步驟。
分享友人