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- 改進(jìn)SMO算法Modified SMO Algorithm
- 基于函數逼近的改進(jìn)SMO算法研究Study on Improvement SMO Algorithms Based on Function Approximation
- 回歸支持向量機SMO算法的改進(jìn)Improvement of SMO algorithm for SVM regression
- SMO算法SMO algorithm
- 改進(jìn)to improve
- 基于樣本取樣的SMO算法A Sampling-based SMO Algorithm
- 支撐向量機回歸的簡(jiǎn)化SMO算法Simplified SMO algorithm for Support Vector Regression
- 改進(jìn)的modified
- 改進(jìn)措施corrective measure
- 仿真結果表明,I-SMO算法比QP算法具有更高的預測精度和更快的運算速度,并且比SMO算法在計算速度方面又有較大的提高。Simulation results show that the prediction accuracy and calculating speed of I-SMO is superior to that of QP algorithm,thus representing also a progress of SMO in respect to speed of calculation.
- 設計了候選支持向量選擇的SCSV算法和異常樣本過(guò)濾處理的AEF算法,AEF+SCSV與SMO算法相結合可以有效學(xué)習SVM分類(lèi)函數。We also propose an abnormal examples filtering(AEF) procedure to find abnormal examples or outliers that may give rise to thedistortion of structural information on the boundaries of two classes. Then AEF+SCVand SMO is integrated to learn SVM classification functions.
- 同時(shí),將SMO算法及其改進(jìn)算法(I-SMO)用于火電廠(chǎng)協(xié)調系統的預測,并同QP算法進(jìn)行了比較。SMO algorithm and its improved version I-SMO is now being used for prediction in power plant coordination systems,and simultaneously compared with the QP method.
- 改進(jìn)算法improved algorithm
- SMO回歸算法algorithm of SMO regression
- 算法改進(jìn)algorithm improvement
- 策略改進(jìn)算法policy improvement algorithm
- 改進(jìn)BP算法improved BP algorithm
- 改進(jìn)GS算法improved GS algorithm
- 改進(jìn)PSO算法modified particle swarm optimization (MPSO)
- 改進(jìn)BM算法improved BM algorithm
