Model calculating unit and control unit for selectively calculating an RBF model, a gaussian process model and an MLP model
US11537090B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2017 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Apr 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A model calculating unit for the selective calculation of an RBF model or of a neural layer of a multilayer perceptron model having a hardwired processor core designed in hardware for calculating a fixedly specified computing algorithm in coupled function blocks. The processor core is designed to calculate an output variable for an RBF model as a function of one or multiple input variables of an input variable vector, of supporting points, of length scales, of parameters specified for each supporting point, the processor core furthermore being designed to calculate an output variable for each neuron for the neural layer of the multilayer perceptron model having a number of neurons as a function of the one or the multiple input variables of the input variable vector, of a weighting matrix having weighting factors and an offset value specified for each neuron.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.