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- Weld defects classification system based on fuzzy reasoning model was established,after analysis of weld defect features in X-ray films. 分析工業(yè)X射線(xiàn)底片焊縫缺陷特征,建立用于焊縫缺陷分類(lèi)識別的模糊推理系統模型。
- Compared with Bayesian classification model,experimental results show SANBC has higher accuracy. 實(shí)驗結果表明,與樸素貝葉斯分類(lèi)模型相比,SANBC分類(lèi)模型具有較高的分類(lèi)正確率。
- Based on the defect attributes of orthogonal defect classification proposed by IBM research center, a defect data table is designed and the specific flow of defect process is also given in the paper. 摘要基于IBM研究中心提出的正交缺陷分類(lèi)屬性設計缺陷數據表格，并給出缺陷處理具體流程。
- The knowledge management model may subdivide for the knowledge classification model,the intelligence capital model and the social structure model. 知識管理模型可分為知識分類(lèi)模型、智力資本模型和社會(huì )結構模型等三種類(lèi)型。
- The defect classification and the reason forming defect of VGA thin film transistor active matrix liquid crystal displays are analysed.Open tester,short tester and display tester are developed. 分析了VGA有源矩陣液晶顯示器的缺陷分類(lèi)、產(chǎn)生原因。研制出了有源矩陣液晶顯示器的斷路測試板、短路測試板以及全板顯示測試板。
- The destination of classification is to learn a classification function or classification model that can map a data item to a preassigned class. 分類(lèi)的目的是學(xué)會(huì )一個(gè)分類(lèi)函數或分類(lèi)模型，該模型能把數據庫中的數據項映射到給定類(lèi)別中的某一個(gè)。
- To solve this problem, we propose a new text classification model: Latent Semantic Classification (LSC) model by extending LSI model. 針對上述問(wèn)題,在擴展LSI模型的基礎上,我們提出了一種新的文本分類(lèi)模型:潛在語(yǔ)義分類(lèi)模型(Latent Semantic Classification:LSC)。
- We also presents the main quality pattern of QDMS,including quality forecast model,classification model and association model. 并介紹了質(zhì)量數據挖掘的主要模型及方法,包括質(zhì)量預測模型、分類(lèi)模型和關(guān)聯(lián)模型。
- The results show that the classification model of distance discriminant analysis excellent performance, high prediction accuracy. 研究結果表明，距離判別分析模型分類(lèi)性能良好，預測精度高，回判估計的誤判率很低。
- ObjectiveTo build an effective and exact reorganization and classification model for the quality control of Andrographis paniculata Nees. 目的建立高效準確的穿心蓮樣品識別模型,為進(jìn)行質(zhì)量控制提供參考。
- Last allow the features overpass the classification model,which created by decision tree and Markov model,to get the nodes last classification result. 最后將得到的節點(diǎn)特征通過(guò)由決策樹(shù)和一階馬爾可夫鏈結合得出的分類(lèi)模型進(jìn)行分類(lèi)。
- orthogonal defect classification 正交缺陷分類(lèi)
- Therefore,it is a puzzle to study the classification model,increase the class number and improve the detection ratio according to the classic classification algorithms. 因此，不管是分類(lèi)模型的建立，還是分類(lèi)類(lèi)別數目的擴展和分類(lèi)率的提高，難度都相當大。
- Defect classification & severity-level gradation 缺陷分類(lèi)分級
- The data splitting using the method maximizes the classification model accuracy and at the same time minimizes the noise percentage between the training set and the test set. 通過(guò)該方法進(jìn)行數據分割，不僅提高了分類(lèi)模型的分類(lèi)精度，而且能夠最小化訓練集和測試集之間的噪聲百分比。
- Last allow the features overpass the classification model, which treated by decision tree and Markov model, to get the node's last classification result. 最后將得到的節點(diǎn)特征通過(guò)由決策樹(shù)和一階馬爾可夫鏈結合得出的分類(lèi)模型進(jìn)行分類(lèi)。
- The algorithm marks unlabeled instances using classifier ensemble technology and class-center method in each subspace, which update the classification model. 該算法在每個(gè)子空間上通過(guò)分類(lèi)器集成技術(shù)和類(lèi)中心法給未標記樣本進(jìn)行標記，從而使分類(lèi)器模型得以更新。
- Past classification analysis research predominately focused on constructing a classification model from training instances whose attributes are atomic and independent. 此模糊分類(lèi)系統是由多個(gè)子模糊系統所建構，而所對應的模糊法則乃取決于資料的分布情形。
- The results of experiments show that the defects classification is very accurate and the kno... 實(shí)驗結果表明,基于決策樹(shù)方法對焊縫缺陷圖像識別的準確率高,而且所表達的知識易于理解。
- The results show that the classification model of distance discriminant analysis has excellent performance, high prediction accuracy;and can be used in practical engineering. 研究結果表明，距離判別分析模型分類(lèi)性能良好，預測精度高，回判估計的誤判率很低，是巖體質(zhì)量等級分類(lèi)的一種有效方法，可以在實(shí)際工程中進(jìn)行推廣。
