• 不要通过专门化已经专门化主题类型来创建领域这样可能造成意料之外泛化行为体系结构目前还支持

    Do not create a domain by specializing an already specialized topic type: This can result in unpredictable generalization behavior, and is not currently supported by the architecture.

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  • 网络结构设计先进合理精度泛化能力

    The network possess advanced reasonable construction designs, high accuracy and strong generalization ability.

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  • 支持向量一种基于结构风险最小原则新型机器学习方法具有完备理论依据良好的学习泛化能力

    Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.

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  • 支持向量机分类器结构简单、可获得全局泛化能力

    SVM has good characteristics of simple structure, global optimum and strong generalization ability.

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  • 第三阶段剪枝阶段,通过获得最小结构神经网络提高泛化能力

    In the third stage, which is called prune stage, minimal structure of neural network is achieved by prune so as to improve its generalization capability.

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  • 支持向量基于结构风险最小化原理学习技术也是一种新的具有很好泛化性能回归方法

    Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.

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  • 泛型允许结构接口代理还有方法他们存储操作数据类型参数化

    Generics permit classes, structs, interfaces, delegates, and methods to be parameterized by the types of data they store and manipulate.

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  • 大量实验结果表明系统结构参数算法参数、模糊判决等方面的分析和优化进一步提高了系统的泛化能力

    The simulation results of optimizations to structure parameter, algorithm parameter and fuzzy judgement show that generalization ability of network have been great improved.

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  • 支持向量机基于结构风险最小化原则解决样本数据分类泛化问题

    SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.

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  • 实验结果表明方法有效提高统计模型泛化能力实现心室结构分割运动跟踪。

    The experimental results show that this method leads to statistical models with better generalization ability, which is useful for cardiac image segmentation and motion analysis.

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  • 尤其是改进神经网络分段预测模型具有网络结构简化、收敛速度泛化能力的特点,取得好的拟合精度预测效果

    The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect.

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  • 支持向量机方法基于学习样本条件下,通过寻求结构风险最小,以期获得良好分类效果泛化能力

    The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.

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  • 基于结构风险最小化准则目的最小化泛化误差上界

    It operates on a principle, called structural risk minimization, which aims to minimize the upper bound on the expected generalization error.

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  • 同时针对神经网络易于陷入局部极值、结构难以确定泛化能力较差缺点,引入很好解决样本非线性高维问题支持向量回归进行油气田开发指标预测

    The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.

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  • 它们扩散性的联想意义为联结而进行语义泛化结构类推成词,具有系统性、对举性、概括性特征。

    They are characterized with systematization and generalization, which result from their semantic association and their formative analogy.

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  • 使用修剪技术使得网络结构不会持续增长避免了过拟合训练现象因而确保系统泛化能力。

    The Pruning technology was used to make the network architecture unsustained growth, and avoid the fitting and the training phenomenon, thus, it has guaranteed system's pan-ability.

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  • 新的网络体系结构克服现有互联网存在弊端,有效满足泛在移动方面多元化网络服务需求

    Results show that our new network architecture overcomes shortcomings of the existing Internet, and the new network system perfectly supports ubiquitous mobile demands.

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  • 最后提出网络结构应用于建筑工程的投标报价中,仿真结果证明网络达到更高误差精度、更快的训练速度更好的泛化能力

    At last the proposed network is used to the construction bidding system. The results of the simulation indicate that it can obtain higher error precision, training speed and generalization ability.

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  • 实验结果表明相关算法相比,它具有结构紧凑,泛化能力等优点。

    Experimental results show that the network obtained with our technique is of small size and has excellent performance compared with the normal cascade correlation learning...

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  • 网络泛化能力依赖于网络拓扑结构国际上为改进网络泛化能力而采用的几种修正学习算法的实际功能做了简要的评论

    The generalized capability of feedforward nets is related to its topologic structure, a systematic review is made over those modified algorithms f...

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  • 网络泛化能力依赖于网络拓扑结构国际上为改进网络泛化能力而采用的几种修正学习算法的实际功能做了简要的评论

    The generalized capability of feedforward nets is related to its topologic structure, a systematic review is made over those modified algorithms f...

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