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    METHOD OF TRAINING A NEURAL NETWORK AND A NEURAL NETWORK TRAINED ACCORDING TO THE METHOD
    1.
    发明申请
    METHOD OF TRAINING A NEURAL NETWORK AND A NEURAL NETWORK TRAINED ACCORDING TO THE METHOD 审中-公开
    训练神经网络的方法和根据该方法训练的神经网络

    公开(公告)号：US20080301075A1

    公开(公告)日：2008-12-04

    申请号：US11936756

    申请日：2007-11-07

    申请人： George Bolt ,  John Manslow ,  Alan McLachlan

    发明人： George Bolt ,  John Manslow ,  Alan McLachlan

    IPC分类号： G06N3/08

    CPC分类号： G06N3/08

    摘要： A neural network comprises trained interconnected neurons. The neural network is configured to constrain the relationship between one or more inputs and one or more outputs of the neural network so the relationships between them are consistent with expectations of the relationships; and/or the neural network is trained by creating a set of data comprising input data and associated outputs that represent archetypal results and providing real exemplary input data and associated output data and the created data to neural network. The real exemplary output data and the created associated output data is compared to the actual output of the neural network, which is adjusted to create a best fit to the real exemplary data and the created data.

    摘要翻译： 神经网络包括训练有素的相互关联的神经元。 神经网络被配置为约束神经网络的一个或多个输入和一个或多个输出之间的关系，使得它们之间的关系与关系的期望一致; 和/或通过创建一组数据来训练神经网络，该组数据包括表示原型结果的输入数据和相关联的输出，并且向神经网络提供真正的示例性输入数据和相关联的输出数据以及所创建的数据。 将真正的示例性输出数据和所创建的相关联的输出数据与神经网络的实际输出进行比较，神经网络被调整以创建与实际示例性数据和创建的数据的最佳拟合。

    Method of training a neural network and a neural network trained according to the method
    2.
    发明申请
    Method of training a neural network and a neural network trained according to the method 审中-公开
    根据该方法训练神经网络和神经网络的方法

    公开(公告)号：US20050149463A1

    公开(公告)日：2005-07-07

    申请号：US10976167

    申请日：2004-10-28

    申请人： George Bolt ,  John Manslow ,  Alan McLachlan

    发明人： George Bolt ,  John Manslow ,  Alan McLachlan

    IPC分类号： G06F15/18 ,  G06G7/00 ,  G06N3/08

    CPC分类号： G06N3/08

    摘要： A neural network comprises trained interconnected neurons. The neural network is configured to constrain the relationship between one or more inputs and one or more outputs of the neural network so the relationships between them are consistent with expectations of the relationships; and/or the neural network is trained by creating a set of data comprising input data and associated outputs that represent archetypal results and providing real exemplary input data and associated output data and the created data to neural network. The real exemplary output data and the created associated output data is compared to the actual output of the neural network, which is adjusted to create a best fit to the real exemplary data and the created data.

    摘要翻译： 神经网络包括训练有素的相互关联的神经元。 神经网络被配置为约束神经网络的一个或多个输入和一个或多个输出之间的关系，使得它们之间的关系与关系的期望一致; 和/或通过创建一组数据来训练神经网络，该组数据包括表示原型结果的输入数据和相关联的输出，并且向神经网络提供真正的示例性输入数据和相关联的输出数据以及所创建的数据。 将真正的示例性输出数据和所创建的相关联的输出数据与神经网络的实际输出进行比较，神经网络被调整以创建与实际示例性数据和创建的数据的最佳拟合。

    Single-pass transmission of repeated objects between host and printer
    3.
    发明授权
    Single-pass transmission of repeated objects between host and printer 有权
    在主机和打印机之间单次传输重复的对象

    公开(公告)号：US6144458A

    公开(公告)日：2000-11-07

    申请号：US146058

    申请日：1998-09-02

    申请人： Alan McLachlan ,  Peter Mierau

    发明人： Alan McLachlan ,  Peter Mierau

    IPC分类号： B41J29/38 ,  G06F3/12 ,  G06F15/00

    CPC分类号： G06F3/1212 ,  G06F3/1244 ,  G06F3/1284

    摘要： Apparatus and methods for transmitting graphical objects from a computer system to a printer. A graphical object is received from an application program. Graphical objects are stored in a computer memory coupled to the computer system. If the received graphical object matches a graphical object stored in the computer memory, an identifier identifying the matching graphical object, rather than the graphical object itself, is transmitted to the printer. Otherwise the received graphical object is stored in the computer memory and transmitted to the printer.

    摘要翻译： 将图形对象从计算机系统传送到打印机的装置和方法。 从应用程序接收图形对象。 图形对象存储在耦合到计算机系统的计算机存储器中。 如果接收到的图形对象与存储在计算机存储器中的图形对象相匹配，则将标识匹配图形对象而不是图形对象本身的标识符传送到打印机。 否则所接收的图形对象被存储在计算机存储器中并传送到打印机。