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- Describes the capabilities and input parameters of your learning algorithm
該算法元數(shù)據(jù)接口說明了您的學習算法的功能和輸入?yún)?shù)。 - Learning algorithms of fuzzy neural networks based on accelerated evolutionary programming
基于加速進化規(guī)劃的模糊神經(jīng)網(wǎng)絡(luò)學習算法 - Research on incremental learning algorithm with multiple support vector machine classifiers
基于多支持向量機分類器的增量學習算法研究 - Fast incremental learning algorithm of linear support vector machine based on hull vectors
基于殼向量的線性支持向量機快速增量學習算法 - We then describe an entropy penalized ams learning algorithm on gaussian mixture
然后,我們描述了另一種基于熵懲罰的自動模型選擇學習算法。 - Finally , we present some typical practical applications of these ams learning algorithms
最后,我們給出了自動模型選擇學習算法的一些典型的應(yīng)用。 - Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms
然而,現(xiàn)有的感知器學習演算法無法輕易的對這個函數(shù)最佳化。 - ( 4 ) by reinforce learning technology , we proposed a on - line learning algorithm of agent
( 4 )基于強化學習技術(shù),給出了協(xié)調(diào)模型中agent在線學習算法。 - 3 . two automatic learning algorithms are used respectively to improve the produced rules
對不同規(guī)則采用不同的更新算法,實現(xiàn)對新出現(xiàn)的非法文檔的自動識別。 - 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習算法。