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An incremental learning algorithm for support vector machine and its application 支持向量機(jī)增量學(xué)習(xí)的算法與應(yīng)用 The improvement of learning algorithm for bp neural network and its applications 神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)算法的改進(jìn)及其應(yīng)用 2 . the learning algorithm of recurrent neural network is investigated 2 .對遞歸神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)算法進(jìn)行了研究。 Risk - sensitive reinforcement learning algorithms with generalized average criterion 風(fēng)險(xiǎn)敏感度激勵學(xué)習(xí)的廣義平均算法 Short - term load forecasting using chaotic learning algorithm for neural network 基于混沌學(xué)習(xí)算法的神經(jīng)網(wǎng)絡(luò)短期負(fù)荷預(yù)測 Application of learning algorithm for neural networks in adaptive kalman filter 神經(jīng)網(wǎng)絡(luò)算法在自適應(yīng)卡爾曼濾波器中的應(yīng)用 The theory of svm and programming based learning algorithms in neural networks 支持向量機(jī)理論與基于規(guī)劃的神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)算法 A parallel learning algorithm based on multiple support vector machine classifiers 一種基于多支持向量機(jī)分類器的并行學(xué)習(xí)算法 Incremental and online learning algorithm for regression least squares support vector machine 一種新的支撐向量機(jī)增量學(xué)習(xí)算法 Chapter 3 studies structure and learning algorithms of recurrent neural networks 主要研究遞歸神經(jīng)網(wǎng)絡(luò)原理、結(jié)構(gòu)及其學(xué)習(xí)算法。