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- An intelligent controller based on fuzzy support vector networks is designed. 摘要將模糊控制與支持向量網(wǎng)絡(luò )相結合，設計了一種模糊支持向量網(wǎng)絡(luò )控制器。
- The hyperplane revises the error of the standard Support Vector Machines. 該分類(lèi)面校正了標準的支持向量機的分類(lèi)誤差。
- Wavelet and support vector machine are used to classify the audio clips. 使用小波變換和支持向量機的方法對音頻進(jìn)行分類(lèi)。
- The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well. 詳細說(shuō)明:支持向量機分類(lèi)器(可分類(lèi)文本,編的非常不錯)
- Girosi, F. "An Equivalence between Sparse Approximation and Support Vector Machines." Neural Computation 10 (1998): 1455-1480. 文章中討論支持向量機與基礎追蹤去雜訊法之間的關(guān)系。
- Karhunen-Loeve transform is employed to get the representation basis of face image set, then use support vector machines to recognize. 摘要利用K-L變換首先對人臉圖像進(jìn)行特征參數提取，再利用支持向量機進(jìn)行識別。
- A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一種新的基于殼向量的增量式支持向量機快速學(xué)習算法。
- Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability. 建立在統計學(xué)習理論基礎之上的支持向量機具有和樣本數相適應的最優(yōu)泛化能力。
- For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 為此，在研究支持向量機的基礎上，給出了核函數的若干重要性質(zhì)。
- The support vector machine forecasting model is proposed to improve the accuracy. 為提高精度，提出了支持向量機非線(xiàn)性的組合預測模型。
- Handwritten number recognition based on support vector machine adopts the US post service database. 支持向量機的手寫(xiě)體數字識別中,采用美國郵政服務(wù)數據庫。
- NPA is currently one of the best training algorithm for support vector machine classifier. 支撐向量機是90年代中期發(fā)展起來(lái)的機器學(xué)習技術(shù),NPA算法是目前最優(yōu)秀的學(xué)習算法之一。
- Using a bootstrap procedure, we design a mechanism to extract significant factors from the support vector approach. 本研究中我們也利用拔靴法設計出一個(gè)由支持矢量方法萃取顯著(zhù)因子的步驟。
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 該文提出結合粗糙集(RS)和最小二乘支持向量回歸(LS-SVR)的方法。
- Finally, Support Vector Machine (SVM) was used to validate the correctness of algorithm. 最后利用支持向量機(SVM)作為算法驗證的分類(lèi)器。
- A multiclass support vector machine suitable for short duration power quality disturbance is designed. 設計了適用于短時(shí)電能質(zhì)量擾動(dòng)的支持向量機多值分類(lèi)器。
- A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper. 提出一種基于支持向量回歸機(SVR)的非線(xiàn)性動(dòng)態(tài)系統建模方法。
- The separating hyperplane of traditional support vector machines is sensitive to noises and outliers. 摘要傳統的支持向量機分類(lèi)超平面對噪聲和野值非常敏感。
- A new method of dynamic clustering based on the idea of optimal hypersphere and support vector machine. 摘要提出了基于最優(yōu)超球面與支持向量機思想的動(dòng)態(tài)聚類(lèi)算法。
- A new algorithm to solve classification problems is obtained based on the support vector regression (SVR). 摘要本文提出了基于支持向量回歸機(SVR)的一種新分類(lèi)算法。
