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- hybrid training algorithm 混合学习算法
- hybrid training algorithms 混合学习算法
- Regular passenger service is to begin Tuesday along a short, mountainous route in what will be the first commercial service by a diesel-electric hybrid train. 定期客运服务是开始沿周二短山区航线,这将是首次商业服务,由柴油-电动混合列车。
- A fast SVM training algorithm based on boundary samples selection is proposed (BSS-SVM). 根据SVM的分类判决面仅由支持向量决定的特点，提出了基于边界样本选择的快速SVM学习算法(BSS-SVM)。
- In HMM based speech recognition systems, the most commonly used training algorithm for models is Baum Welch algorithm. 在基于隐马尔柯夫模型 (HMM)的语音识别系统中 ;模型训练最常用的算法是 Baum-Welch算法 .
- A novel algebraic training algorithm for a three-layered MLP is proposed in this paper. 摘要本文针对三层前馈网络提出一种全新的学习算法。
- NPA is currently one of the best training algorithm for support vector machine classifier. 支撑向量机是90年代中期发展起来的机器学习技术,NPA算法是目前最优秀的学习算法之一。
- Two hybrid training methods, GA forward-based GA-HMM model and GA embed-based GA-HMM model, are proposed. GA can be used to adjust the initial training parameters of HMM randomly. It can avoid falling of the training of HMM into local optima effectively. 为此,采用GA训练HMM模型参数,并给出了GA和HMM的两种混合训练方式:前端GA HMM模型和内嵌式GA HMM模型,GA算法能随机地调整HMM模型训练的初始值,使HMM跳出局部最优,较好地克服了HMM训练容易陷入局部最优的问题。
- Real-time recursion training algorithm is used to dynamically adjust the system parameters. 利用实时递归学习算法对系统参数进行动态调节。
- An on-line training algorithm is presented to avoid repetitious solving the convex programming problem. 并给出一种?着调整时的在线训练算法，避免重复求解凸规划问题。
- Encouraged by the success of hybrid cars, Japan is now bringing hybrid trains to the world. 成功鼓舞了混合型汽车,现在日本引进杂交列车到世界各地。
- FMM neural network is chosen as the classifier with modified training algorithm. 对5种喷气飞机模型的识别结果表明,该算法具有较高的正确识别率。
- But the popularity of hybrid cars like the Toyota Prius is helping to increase interest in hybrid trains. 但是受欢迎的混合型汽车,像丰田普瑞斯有助于增加兴趣混合列车。
- Sequential Modular Approach was applied to design distillation column simulation training algorithm. 采用序贯模块法设计了精馏塔仿真培训的算法。
- B.E.Boser, I.M.Guyon, and V.N.Vapnik, "A training algorithm for optimal margin classifiers," The 5th Annual ACM Workshop on COLT,1992, pp.144-152. 张嘉惠，不同机器学习分类演算法之比较-以统计制程数据为例，元智大学工业工程与管理学系硕士学位论文，2006年7月。
- In this paper, an artificial neural network based on Levenberg-Marquardt training algorithm is proposed to solve this problem. 本文提出采用基于L-M算法的多层前馈神经网络对害虫进行分类识别。
- Multilayer feedforward neural network is the most popular network model ,and the approach ability and training algorithm are the key of its application. 多层前向神经网络是最常用、最流行的神经网络模型,其逼近能力和训练算法是其应用的关键。
- A simulation for a nonisothermal continuous stirred tank reactor (CSTR) system demonstrates the effectiveness of the training algorithm and the control strategy. 仿真结果表明了权值调整算法和控制策略的有效性。
- The hybrid offspring of a zebra and a horse. 杂交斑马斑马与马杂交的后代
- Compared to the standard Balm-Welch training algorithm, this algorithm has lower complexity while prediction performance is better than or at least comparable to other existing methods. 同标准训练算法相比,该算法具有时间复杂度低,预测精度高等优点。
