| 发明名称 |
METHOD AND DEVICE FOR ASCERTAINING A GRADIENT OF A DATA-BASED FUNCTION MODEL |
| 摘要 |
In a method for calculating a gradient of a data-based function model, having one or multiple accumulated data-based partial function models, e.g., Gaussian process models, a model calculation unit is provided, which is designed to calculate function values of the data-based function model having an exponential function, summation functions, and multiplication functions in two loop operations in a hardware-based way, the model calculation unit being used to calculate the gradient of the data-based function model for a desired value of a predefined input variable. |
| 申请公布号 |
US2015154329(A1) |
申请公布日期 |
2015.06.04 |
| 申请号 |
US201414558544 |
申请日期 |
2014.12.02 |
| 申请人 |
Robert Bosch GmbH |
发明人 |
Hanselmann Michael;Koehler Jan Mathias;Markert Heiner |
| 分类号 |
G06F17/50;G06F17/11 |
主分类号 |
G06F17/50 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for calculating a gradient of a data-based function model having at least one accumulated data-based partial function model, comprising:
calculating, using a model calculation unit, a function value of the data-based function model having an exponential function, at least one summation function, and at least one multiplication function in two loop operations in a hardware-based way; and calculating, by the model calculation unit, the gradient of the data-based function model for a desired value of a predefined input variable. |
| 地址 |
Stuttgart DE |
