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基于概率和間隔信息的產(chǎn)品設(shè)計知識線性分類方法
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國家自然科學(xué)基金資助項目(50905159);浙江省自然科學(xué)基金資助項目(Y12E050100);2011年浙江省博士后科研項目擇優(yōu)資助項目


Design Knowledge Linear Classification of Complex Product Based on Margin and Probability Information
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    摘要:

    針對復(fù)雜產(chǎn)品設(shè)計知識類別數(shù)多、數(shù)據(jù)量大的分類問題,基于最小最大概率機(jī)的概率信息和樣本間隔信息,使用線性的方法解決多分類問題。用樣本的均值和協(xié)方差代替真實的均值和協(xié)方差,利用間隔信息和概率信息,構(gòu)造加權(quán)投票矩陣,編碼矩陣會隨著不同的方法和不同的訓(xùn)練數(shù)據(jù)有不同的變化,同時也利用所攜帶的幅值信息,選出最大值的對應(yīng)類別。線性分類器作為二類分類器可以加快處理速度。提出以子空間角度差異度量來表征各個類別概念間的差異,并通過對叉車產(chǎn)品設(shè)計知識的數(shù)值實驗證明了該方法的有效性和實用性。

    Abstract:

    For the complex product design knowledge with a large number catalogs and data volumes, the multi-classification problem was solved by using linear approach based on the margin and probability information of MPM. The true mean and covariance were replaced by the sample ones. The weight voting matrix was established, the coding matrix varied with the difference algorithm and training data. The classifier with max value was selected by using the amplitude value. Linear classifier was used as binary one for high speed. The angle difference measurement of subspace was proposed to characterize the difference of every class conception. The feasibility and practicality of the above mentioned method were approved by forklift product design knowledge.

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屠立,車君華.基于概率和間隔信息的產(chǎn)品設(shè)計知識線性分類方法[J].農(nóng)業(yè)機(jī)械學(xué)報,2013,44(1):217-221. Tu Li, Che Junhua. Design Knowledge Linear Classification of Complex Product Based on Margin and Probability Information[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(1):217-221.

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  • 在線發(fā)布日期: 2012-12-31
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