• However, the SSNN models required offline training with large data sets of input-output data.

    然而,状态空间神经网络需要大量的历史数据作为离线训练之用。

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  • Experimental modeling, or modeling by synthesis, is the selection of mathematical relationship which seems to fit observed input-output data.

    经验建模,或叫综合建模,是一种通过寻找数学关系而建立模型的方法,这种数学关系应该能够与输入-输出观测数据相配合。

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  • The simulation result shows that the proposed ILC can track the reference signal according to the reference signal and the input-output data;

    实验结果表明:本文提出的迭代学习律,只需要根据参考信号及输入输出信号就能实现对参考信号的完全跟踪;

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  • The good localization characteristics of wavelet functions in both time and frequency space allow hierarchical multi-resolution learning of input-output data mapping.

    由于小波变换在时间和频率空间具有良好的定位特性,使小波神经网络可对输入、输出数据进行多分辨的学习训练。

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  • The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.

    利用小波变换所具有的良好的时频分析特性,实现了输入输出之间映射关系的多分辨学习。

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  • Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.

    基于系统的输入-输出数据,提出一种通过划分输入空间提取模糊规则的方法,并将该方法应用于建模非线性程度较高的干燥过程。

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  • Nonlinear physical parameters of the docking mechanism-inertial, damping and stiffness matrices, are identified by direct parameter estimate(DPE)method with input-output data of the system.

    采用直接参数识别方法(DPE)由系统的输入、输出数据识别空间对接机构的物理参数:惯量矩阵、阻尼矩阵和刚度系数矩阵。

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  • Now, you need to add some components for data input and output.

    现在,您需要为数据输入和输出增加一些组件。

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  • In particular, you will be able to design the input and output data structure of activities.

    特别的是,您将能够设计活动的输入数据和输出数据的结构。

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  • You can add more input or output columns to this data set later.

    稍后您要向该数据集添加更多的输入或者输出列。

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  • These services have input and output data structures just like any other service.

    就像其他服务一样,这些服务具有输入和输出数据结构。

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  • It is parameterized based on its input and output data types.

    它是基于其输入和输出数据类型参数化的。

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  • Its various classes and interfaces provide for system input and output for data streams.

    它的各个类和接口为数据流提供了系统输入和输出。

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  • Each input row can only generate one row of output data.

    每个输入行只能生成一行输出数据。

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  • As the input and output data format that workflow USES is XML, we require a specification of the XML element names.

    由于工作流使用的输入输出数据格式是XML,所以我们需要xml元素名的规格说明。

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  • The trace shows component invocations and exceptions, with their input and output data.

    跟踪显示了组件调用和异常,以及它们的输入和输出数据。

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  • SOA also includes adapters that change the input and output data signatures of component operations; adapters insulate a service’s clients from changes in its interface at a slight performance cost.

    SOA还包含更改组件的输入和输出数据签名的适配器;适配器能以很小的性能开销为代价将服务的客户机与其接口的更改隔离。

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  • Finally, we conclude by stressing the versatility of the solution with respect to changes in requirements, as well as input and output data formats.

    最后,涉及到修改需求以及输入输出数据格式的问题时,我们强调了该解决方案的通用性。

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  • To live in a pipeline, a utility needs to read data from standard input and write data to standard output.

    为了生活在管道中,实用程序需要从标准输入读取数据,然后向标准输出写出数据。

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  • TYPE Keyword identifying input and output data type as specified in the service definition.

    TYPE 在服务定义中指定的标识输入和输出数据类型的关键字。

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  • Services and Local Tasks have the same attributes in terms of input and output data, resources associated to them, and so on.

    服务和局部任务在输入和输出数据、与之相关的资源等方面具有相同的属性。

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  • They are forms input, processed data and data output.

    它们是表格输入、处理的数据,和数据输出。

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  • The same applies when defining input and output data signatures for components; design them to perform well in the primary application, and change them only when their use changes significantly.

    为组件定义输入和输出数据签名时,也适用相同的原则;将其设计为在主要应用程序中能良好工作,仅在其使用发生大幅度变化时才对其进行更改。

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  • The majority of the issues relate to recursive structures and how to cope with dynamic input and output data.

    大多数问题与递归结构以及如何处理动态输入和输出数据有关。

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  • Type Trees are the data definition files that define the format of the input and output data.

    类型树是定义输入和输出数据的格式的数据定义文件。

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  • All data, including dynamic SQL statements, user input data, user output data, and character fields in the SQLCA, is interpreted based on this code page.

    所有数据,包括动态sql语句、用户输入数据、用户输出数据以及SQLCA中的字符字段,都是基于该代码页进行解释的。

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  • Presumably both the input and the output services use the same data types.

    假设输入与输出服务都使用相同的数据类型。

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  • On the data structures panel, select the input and output data structures that will be mapped to the input and output XML messages respectively.

    在数据结构面板上,选择那些将分别映射到输入输出XML消息中的输入以及输出数据结构。

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  • Output is fixed: you can control the input data format but must output data in a specific format, over which you have no control.

    输出端固定:可以控制输入数据格式,但输出数据必须采用您不能控制的特定格式。

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