inference pattern 中文意思是什麼
inference pattern
解釋
推理模型-
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。 -
Experiments proved its efficiency and robustness. this recognition system introduced d - s inference theory in statistical pattern recognition, and implemented it by neural network
該系統充分結合了d ? s證據理論在不確定性推理方面的優勢以及神經網路強大的非線性處理能力，實驗結果表明了這一形狀識別系統的有效性。 -
The paper explores the ai theories of developing the capp expert system, and fixes on the knowledge representation method of production rules, and the new thought of developing the knowledge base and the inference engine in the es tool clips, and introduces the theoretical knowledge of clips. the pape builds up the knowledge base about the process knowledge, invents the inference engine by the theories of control strategy of forward reasoning and rete pattern matching algorithm, with the result of improving the reliability of knowledge, the quality of inference and the efficiency of the searching. using the dynamic interface mechanism and the compiled dll, the paper embeds the clips program into the vc + + environment and carries out the mixed programming so as to achieve the data communication between the vc + + and clips
論文對開發capp專家系統的人工智慧理論作了比較深入的探討，確定了產生式規則的知識表示方法和用專家系統開發工具clips來開發系統的知識庫和推理機的新思路。在闡述了clips理論知識的基礎上，確定了以產生式規則構建工藝知識庫，以正向推理的控制策略和里德演算法的匹配模式建立推理機，從而提高了知識的可靠性、推理質量與搜索的效率。論文利用windows環境下的動態介面機制，調用已編譯好的動態鏈接庫clips . dll ，把所開發的clips程序嵌入到vc + +中再進行混合編程，實現了vc + +與clips程序的數據通信，成功地構建了capp專家系統。 -
3. according to the particularity of computer go, repository is divided into several parts such as i - go rule and term systenu joseki library and pattern library, life and death library and dynamic repository. inference machine solves problems by calling the corresponding part of repository according to the distinctive phases of inference
根據圍棋博弈問題的特殊性，知識庫按照不同的功能被分為圍棋規則和術語系統、定式庫和模式庫、死活庫和動態知識庫等幾部分，問題的求解由推理機根據推理的不同階段調用知識庫中相應的部分來進行。 -
According to the analysis and comparison of the three inference mechanisms, and considering the real need of this system, in chapter five we set up a unified inferring pattern in which the frame - based inference playing a leading role and the rule - based inference playing a core role
介紹了知識庫的組成結構，闡述了知識庫的管理和維護。第五章，在對當前3種推理機制進行分析比較的基礎上，結合本系統的實際，提出了以框架推理為向導，規則推理為核心的推理機制。
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