公开(公告)号：US20140309754A1

公开(公告)日：2014-10-16

申请号：US14247104

申请日：2014-04-07

申请人： Heiner MARKERT ,  Rene DIENER ,  Felix STREICHERT ,  Andre GUNTORO ,  Michael HANSELMANN

发明人： Heiner MARKERT ,  Rene DIENER ,  Felix STREICHERT ,  Andre GUNTORO ,  Michael HANSELMANN

IPC分类号： G05B13/04 ,  G06N99/00

CPC分类号： G05B13/04 ,  G06N99/005

摘要： A method for generating a data-based function model includes: providing a first data-based partial model ascertained from a first training data record; providing at least one additional training data record; and performing the following steps for the at least one additional training data record: ascertaining a difference training data record having training data which correspond to the differences between the output values of the relevant additional training data record and the function value of the sum of the partial function values (ffirst—partial—model(x) fsecond—partial—model(x)) of the first data-based partial model and previously ascertained data-based partial model(s) at each of the measuring points of the relevant training data record; ascertaining an additional data-based partial model from the difference training data record; and forming a sum (f(x)) from the first and the additional data-based partial models.

摘要翻译： 一种用于生成基于数据的功能模型的方法包括：提供从第一训练数据记录确定的第一基于数据的部分模型; 提供至少一个额外的训练数据记录; 以及对所述至少一个附加训练数据记录执行以下步骤：确定具有与所述相关附加训练数据记录的输出值之间的差异相对应的训练数据的差分训练数据记录与所述部分 第一基于数据的部分模型的功能值（ffirst-partial-model（x）fsecond-partial-model（x））和先前确定的相关训练数据的每个测量点的基于数据的部分模型 记录; 从差分训练数据记录中确定附加的基于数据的部分模型; 以及从第一个和附加的基于数据的部分模型形成和（f（x））。

公开(公告)号：US20140310325A1

公开(公告)日：2014-10-16

申请号：US14247136

申请日：2014-04-07

申请人： Tobias LANG ,  Heiner MARKERT ,  Axel AUE ,  Wolfgang FISCHER ,  Ulrich SCHULMEISTER ,  Nico BANNOW ,  Felix STREICHERT ,  Andre GUNTORO ,  Christian FLECK ,  Anne Von VIETINGHOFF ,  Michael SAETZLER ,  Michael HANSELMANN ,  Matthias SCHREIBER

发明人： Tobias LANG ,  Heiner MARKERT ,  Axel AUE ,  Wolfgang FISCHER ,  Ulrich SCHULMEISTER ,  Nico BANNOW ,  Felix STREICHERT ,  Andre GUNTORO ,  Christian FLECK ,  Anne Von VIETINGHOFF ,  Michael SAETZLER ,  Michael HANSELMANN ,  Matthias SCHREIBER

IPC分类号： G06F1/02

CPC分类号： G06F1/02 ,  G06F7/5443 ,  G06F7/556

摘要： A model calculation unit for calculating a data-based function model in a control unit is provided, the model calculation unit having a processor core which includes: a multiplication unit for carrying out a multiplication on the hardware side; an addition unit for carrying out an addition on the hardware side; an exponential function unit for calculating an exponential function on the hardware side; a memory in the form of a configuration register for storing hyperparameters and node data of the data-based function model to be calculated; and a logic circuit for controlling, on the hardware side, the calculation sequence in the multiplication unit, the addition unit, the exponential function unit and the memory in order to ascertain the data-based function model.

摘要翻译： 提供了一种用于在控制单元中计算基于数据的功能模型的模型计算单元，所述模型计算单元具​​有处理器核，所述处理器核包括：用于在硬件侧执行乘法的乘法单元; 用于在硬件侧执行添加的附加单元; 用于计算硬件侧的指数函数的指数函数单元; 用于存储要计算的基于数据的功能模型的超参数和节点数据的配置寄存器形式的存储器; 以及用于在硬件侧控制乘法单元，加法单元，指数函数单元和存储器中的计算序列以确定基于数据的函数模型的逻辑电路。

公开(公告)号：US20140310210A1

公开(公告)日：2014-10-16

申请号：US14247121

申请日：2014-04-07

申请人： Heiner MARKERT ,  Rene DIENER ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

发明人： Heiner MARKERT ,  Rene DIENER ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

IPC分类号： G06N99/00

CPC分类号： G06N20/00

摘要： A computerized method for creating a function model based on a non-parametric, data-based model, e.g., a Gaussian process model, includes: providing training data including measuring points having one or multiple input variables, the measuring points each being assigned an output value of an output variable; providing a basic function; modifying the training data with the aid of difference formation between the function values of the basic function and the output values at the measuring points of the training data; creating the data-based model based on the modified training data; and providing the function model as a function of the data-based model and the basic function.

摘要翻译： 用于基于非参数的基于数据的模型（例如，高斯过程模型）来创建功能模型的计算机化方法包括：提供包括具有一个或多个输入变量的测量点的训练数据，每个测量点被分配输出 输出变量的值; 提供基本功能; 借助于基本功能的功能值与训练数据的测量点的输出值之间的差异形成来修改训练数据; 基于修改的训练数据创建基于数据的模型; 并提供功能模型作为基于数据的模型和基本功能的函数。

公开(公告)号：US20140310212A1

公开(公告)日：2014-10-16

申请号：US14247623

申请日：2014-04-08

申请人： The Duy NGUYEN-TUONG ,  Heiner MARKERT ,  Volker IMHOF ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

发明人： The Duy NGUYEN-TUONG ,  Heiner MARKERT ,  Volker IMHOF ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

IPC分类号： G06F17/50 ,  G06N99/00

CPC分类号： G06F17/5009 ,  G06N20/00

摘要： A method for ascertaining a nonparametric, data-based function model, in particular a Gaussian process model, using provided training data, the training data including a number of measuring points which are defined by one or multiple input variables and which each have assigned output values of at least one output variable, including: selecting one or multiple of the measuring points as certain measuring points or adding one or multiple additional measuring points to the training data as certain measuring points; assigning a measuring uncertainty value of essentially zero to the certain measuring points; and ascertaining the nonparametric, data-based function model according to an algorithm which is dependent on the certain measuring points of the modified training data and the measuring uncertainty values assigned in each case.

摘要翻译： 一种使用提供的训练数据来确定非参数的基于数据的功能模型，特别是高斯过程模型的方法，所述训练数据包括由一个或多个输入变量定义并且各自具有分配的输出值的多个测量点 至少一个输出变量，包括：选择一个或多个测量点作为某些测量点，或者将一个或多个附加测量点添加到训练数据作为某些测量点; 向某些测量点分配基本为零的测量不确定度值; 并且根据取决于修改的训练数据的某些测量点的算法和在每种情况下分配的测量不确定性值来确定非参数的基于数据的功能模型。